Minitab 090226133035 Phpapp01

Meet Minitab 15

for Windows®

January 2007

ISBN 978-0925636-51-5 Printed in the USA
© 2006 by Minitab Inc. All rights reserved. 1st Printing, November 2006
Minitab® is a registered trademark of Minitab Inc. The Minitab logo™, Quality Companion by Minitab™,
the Quality Companion by Minitab logo™, Quality Trainer by Minitab™, the Quality Trainer by Minitab
logo™, Capability Sixpack™, Process Capability Sixpack™, ReportPad™, and StatGuide™ are all
trademarks of Minitab Inc.
All other marks referenced remain the property of their respective owners.

ii

Table of Contents
1 Getting Started . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .1-1
Objectives . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1-1
Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1-1
Typographical Conventions in this Book . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1-2
The Story . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1-3
Starting Minitab . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1-3
Opening a Worksheet. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1-4
What Next . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1-6

2 Graphing Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .2-1
Objectives . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-1
Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-1
Exploring the Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-2
Examining Relationships Between Two Variables. . . . . . . . . . . . . . . . . . . . . . . 2-8
Using Graph Layout and Printing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-11
Saving Projects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-13
What Next . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-14

3 Analyzing Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .3-1
Objectives . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3-1
Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3-1
Displaying Descriptive Statistics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3-2
Performing an ANOVA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3-4
Using Minitab’s Project Manager . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3-10
What Next . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3-12

4 Assessing Quality . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .4-1
Objectives . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4-1
Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4-1
Evaluating Process Stability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4-2
Evaluating Process Capability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4-8
What Next . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4-10

iii

5 Designing an Experiment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5-1
Objectives . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5-1
Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5-1
Creating an Experimental Design . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5-2
Viewing the Design . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5-5
Entering Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5-5
Analyzing the Design . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5-6
Drawing Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5-9
What Next . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5-11

6 Using Session Commands . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6-1
Objectives . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6-1
Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6-1
Enabling and Typing Commands . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6-2
Rerunning a Series of Commands . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6-5
Repeating Analyses with Execs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6-6
What Next . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6-8

7 Generating a Report . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7-1
Objectives . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7-1
Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7-1
Using the ReportPad . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7-2
Saving a Report. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7-6
Copying a Report to a Word Processor . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7-6
Using Embedded Graph Editing Tools . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7-7
What Next . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7-9

8 Preparing a Worksheet . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8-1
Objectives . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8-1
Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8-1
Getting Data from Different Sources . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8-2
Preparing the Worksheet for Analysis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8-5
What Next . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8-11

iv

9 Customizing Minitab . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .9-1
Objectives . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9-1
Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9-1
Setting Options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9-2
Creating a Custom Toolbar . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9-3
Assigning Shortcut Keys . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9-5
Restoring Minitab’s Default Settings . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9-6
What Next . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9-7

10 Getting Help . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .10-1
Objectives . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10-1
Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10-1
Getting Answers and Information . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10-2
Minitab Help Overview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10-4
Help . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10-6
StatGuide . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10-8
Session Command Help . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10-10
What Next . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10-11

11 Reference . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .11-1
Objectives . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11-1
Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11-1
The Minitab Environment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11-2
Minitab Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11-5
Quick Reference . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11-6

Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . I-1

Documentation
Additional Minitab Products
How to Order Additional Products

v

1
Getting Started
Objectives
In this chapter, you:
■ Learn how to use Meet Minitab, page 1-1
■ Start Minitab, page 1-3
■ Open and examine a worksheet, page 1-4

Overview
Meet Minitab introduces you to the most commonly used features in Minitab.
Throughout the book, you use functions, create graphs, and generate statistics. The
contents of Meet Minitab relate to the actions you need to perform in your own
Minitab sessions. You use a sampling of Minitab’s features to see the range of features
and statistics that Minitab provides.
Most statistical analyses require a series of steps, often directed by background
knowledge or by the subject area you are investigating. Chapters 2 through 5
illustrate the analysis steps in a typical Minitab session:
■ Exploring data with graphs
■ Conducting statistical analyses and procedures
■ Assessing quality
■ Designing an experiment
Chapters 6 through 9 provide information on:
■ Using shortcuts to automate future analyses
■ Generating a report
■ Preparing worksheets
■ Customizing Minitab to fit your needs

Meet Minitab 1-1

Chapter 1 Typographical Conventions in this Book

Chapter 10, Getting Help, includes information on getting answers and using
Minitab Help features. Chapter 11, Reference, provides an overview of the Minitab
environment, a discussion about the types and forms of data that Minitab uses, and
quick-reference tables of actions and statistics available in Minitab.
You can work through Meet Minitab in two ways:
■ From beginning to end, following the story of a fictional online bookstore through
a common workflow
■ By selecting a specific chapter to familiarize yourself with a particular area of
Minitab
Meet Minitab introduces dialog boxes and windows when you need them to perform
a step in the analysis. As you work, look for these icons for additional information:

Provides notes and tips

Suggests related topics in Minitab Help and StatGuide

Typographical Conventions in this Book
e Denotes a key, such as the Enter key.
a+D Denotes holding down the first key and pressing the second key.
For example, while holding down the a key, press the D key.
File ➤ Exit Denotes a menu command, in this case choose Exit from the File
menu. Here is another example: Stat ➤ Tables ➤ Tally Individual
Variables means open the Stat menu, then open the Tables
submenu, and finally choose Tally Individual Variables.
Click OK. Bold text clarifies dialog box items and buttons and Minitab
commands.
Enter Pulse1. Italic text specifies text you need to enter.

1-2 Meet Minitab

The Story Getting Started

The Story
An online book retail company has three regional shipping centers that distribute
orders to consumers. Each shipping center uses a different computer system to enter
and process order information. To integrate all orders and use the most efficient
method company wide, the company wants to use the same computer system at all
three shipping centers.
Throughout this book, you analyze data from the shipping centers as you learn to use
Minitab. You create graphs and conduct statistical analyses to determine which
computer system is the most efficient and results in the shortest delivery time.
After you identify the most efficient computer system, you focus on the data from this
center. First, you create control charts to see whether the center’s shipping process is
in control. Then, you conduct a capability analysis to see whether the process is
operating within specification limits. Finally, you conduct a designed experiment to
further improve the shipping center’s processes.
Additionally, you learn about session commands, generating a report, preparing a
worksheet, and customizing Minitab.

Starting Minitab
Before you begin your analysis, start Minitab and examine the layout of the windows.

Start Minitab 1 From the Windows Taskbar, choose Start ➤ Programs ➤ Minitab Solutions ➤
Minitab 15 Statistical Software English.

Minitab opens with two main windows visible:
■ The Session window displays the results of your analysis in text format. Also, in
this window, you can enter commands instead of using Minitab’s menus.
■ The Data window contains an open worksheet, which is similar in appearance to
a spreadsheet. You can open multiple worksheets—each in a different Data
window.

Meet Minitab 1-3

Chapter 1 Opening a Worksheet

Session window

Data window:
– Columns
– Rows
– Cells

For more information on the Minitab environment, see The Minitab Environment on page 11-2.

Opening a Worksheet
You can open a new, empty worksheet at any time. You can also open one or more
files that contain data. When you open a file, you copy the contents of the file into
the current Minitab project. Any changes you make to the worksheet while in the
project will not affect the original file.
The data for the three shipping centers are stored in the worksheet
SHIPPINGDATA.MTW.

In some cases, you will need to prepare your worksheet before you begin an analysis. For
information on setting up a worksheet, see Chapter 8, Preparing a Worksheet.

1-4 Meet Minitab

Opening a Worksheet Getting Started

Open a 1 Choose File ➤ Open
worksheet Worksheet.
2 Click Look in Minitab
Sample Data folder, near
the bottom of the dialog box.
3 In the Sample Data folder,
double-click Meet Minitab.
You can change the default
folder for opening and saving
Minitab files by choosing
Tools ➤ Options ➤ General.
4 Choose
SHIPPINGDATA.MTW,
then click Open. If you get a
message box, check Do not display this message again, then click OK. To restore
this message for every time you open a worksheet, return to Minitab’s default
settings. See Restoring Minitab’s Default Settings on page 9-6.

Examine The data are arranged in columns, which are also called variables. The column
worksheet number and name are at the top of each column. Each row in the worksheet
represents a case, which is information on a single book order.
Column with Column with Column with
date/time data numeric data text data

Column
name

Row
number

Minitab accepts three types of data: numeric, text, and date/time. This worksheet
contains each type.
The data include:
■ Shipping center name
■ Order date
■ Delivery date

Meet Minitab 1-5

Chapter 1 What Next

■ Number of delivery days
■ Delivery status (“On time” indicates that the book shipment was received on
time; “Back order” indicates that the book is not currently in stock; “Late”
indicates that the book shipment was received six or more days after ordered)
■ Distance from shipping center to delivery location

For more information about data types, see Minitab Data on page 11-5.

What Next
Now that you have a worksheet open, you are ready to start using Minitab. In the
next chapter, you use graphs to check the data for normality and examine the
relationships between variables.

1-6 Meet Minitab

2
Graphing Data
Objectives
■ Create and interpret an individual value plot, page 2-2
■ Create a histogram with groups, page 2-4
■ Edit a histogram, page 2-5
■ Arrange multiple histograms on the same page, page 2-6
■ Access Help, page 2-8
■ Create and interpret scatterplots, page 2-9
■ Edit a scatterplot, page 2-10
■ Arrange multiple graphs on the same page, page 2-12
■ Print graphs, page 2-13
■ Save a project, page 2-13

Overview
Before conducting a statistical analysis, you can use graphs to explore data and assess
relationships among the variables. Also, graphs are useful to summarize findings and
to ease interpretation of statistical results.
You can access Minitab’s graphs from the Graph and Stat menus. Built-in graphs,
which help you to interpret results and assess the validity of statistical assumptions,
are also available with many statistical commands.
Graph features in Minitab include:
■ A pictorial gallery from which to choose a graph type
■ Flexibility in customizing graphs, from subsetting of data to specifying titles and
footnotes

Meet Minitab 2-1

Chapter 2 Exploring the Data

■ Ability to change most graph elements, such as fonts, symbols, lines, placement of
tick marks, and data display, after the graph is created
■ Ability to automatically update graphs
This chapter explores the shipping center data you opened in the previous chapter,
using graphs to compare means, explore variability, check normality, and examine
the relationship between variables.

For more information on Minitab graphs:
■ Go to Graphs in the Minitab Help index and then double-click the overview entry for details
on Minitab graphs. To access the Help index, choose Help ➤ Help, then click the Index tab.
■ Choose Help ➤ Tutorials ➤ Session One: Graphing Data for a step-by-step tutorial on
using Minitab graphs and editing tools.

Exploring the Data
Before conducting a statistical analysis, you should first create graphs that display
important characteristics of the data.
For the shipping center data, you want to know the mean delivery time for each
shipping center and how variable the data are within each shipping center. You also
want to determine if the shipping center data follow a normal distribution so you that
you can use standard statistical methods for testing the equality of means.

Create an You suspect that delivery time is different for the three shipping centers. Create an
individual individual value plot to compare the shipping center data.
value plot 1 If not continuing from the previous chapter, choose File ➤ Open Worksheet. If
continuing from the previous chapter, go to step 4.
2 Click Look in Minitab Sample Data folder, near the bottom of the dialog box.

3 In the Sample Data folder, double-click Meet Minitab, then choose
SHIPPINGDATA.MTW. Click Open.
4 Choose Graph ➤ Individual Value Plot.
For most graphs, Minitab displays a pictorial
gallery. Your gallery choice determines the
available graph creation options.
5 Under One Y, choose With Groups, then
click OK.

2-2 Meet Minitab

Exploring the Data Graphing Data

6 In Graph variables, enter Days.
7 In Categorical variables for
grouping (1-4, outermost first),
enter Center.
To create a graph, you only
need to complete the main
dialog box. However, you can
click any button to open dialog
boxes to customize your graph.
The list box on the left shows
the variables from the worksheet that are available for the analysis. The boxes on
the right display the variables that you select for the analysis.
8 Click Data View. Check Mean connect
line.
9 Click OK in each dialog box.

To select variables in most Minitab dialog boxes, you can: double-click the variables in the
variables list box; highlight the variables in the list box, then choose Select; or type the
variables’ names or column numbers.

Graph
window
output

Meet Minitab 2-3


Interpret The individual value plots show that each center has a different mean delivery time.
results The Western center has a lower shipping time than the Central and Eastern centers.
The variation within each shipping center seems about the same.

Create a Another way to compare the three shipping centers is to create a grouped histogram,
grouped which displays the histograms for each center on the same graph. The grouped
histogram histogram will show how much the data from each shipping center overlap.
1 Choose Graph ➤ Histogram.

2 Choose With Fit And Groups, then click OK.


4 In Categorical variables for
grouping (0-3), enter Center.
5 Click OK.

Graph
window
output

2-4 Meet Minitab


Interpret As you saw in the individual value plot, the means for each center are different. The
results mean delivery times are:
Central—3.984 days
Eastern—4.452 days
Western—2.981 days
The grouped histogram shows that the Central and Eastern centers are similar in
mean delivery time and spread of delivery time. In contrast, the Western center
mean delivery time is shorter and less spread out. Chapter 3, Analyzing Data, shows
how to detect stastistically significant differences among means using analysis of
variance.

If your data change, Minitab can automatically update graphs. For more information, go to
Updating graphs in the Minitab Help index.

Edit Editing graphs in Minitab is easy. You can edit virtually any graph element. For the
histogram histogram you just created, you want to:
■ Make the header text in the legend (the table with the center information) bold
■ Modify the title

Change the legend table header font
1 Double-click the legend.

2 Click the Header Font tab.

3 Under Style, check Bold.

4 Click OK.

Change the title
1 Double-click the title (Histogram of
Days).
2 In Text, type Histogram of Delivery Time.
3 Click OK.

Meet Minitab 2-5


Graph
window
output

Interpret The histogram now features a bold font for the legend heading and a more
results descriptive title.

In addition to editing individual graphs, you can change the default settings for future graphs.
■ To affect general graph settings, such as font attributes, graph size, and line types, choose
Tools ➤ Options ➤ Graphics.
■ To affect graph-specific settings, such as the scale type on histograms or the method for
calculating the plotted points on probability plots, choose Tools ➤ Options ➤ Individual
Graphs.
The next time you open an affected dialog box, your preferences are reflected.

Create a To determine if the shipping center data follow a normal distribution, create a
paneled paneled histogram of the time lapse between order and delivery date.
histogram 1 Choose Graph ➤ Histogram.

2 Choose With Fit, then click OK.

2-6 Meet Minitab



4 Click Multiple Graphs, then
click the By Variables tab.
5 In By variables with groups in separate
panels, enter Center.

Graph
window
output

Interpret The delivery times for each center are approximately normally distributed as shown
results by the distribution curves exhibiting the same pattern.

If you have fewer than 50 observations, you may want to use a normal probability plot (Graph
➤ Probability Plot) to assess normality.

Meet Minitab 2-7

Chapter 2 Examining Relationships Between Two Variables

Examining Relationships Between Two
Variables
Graphs can help identify whether associations are present among variables and the
strength of any associations. Knowing the relationship among variables can help to
guide further analyses and determine which variables are important to analyze.
Because each shipping center serves a small regional delivery area, you suspect that
distance to delivery site does not greatly affect delivery time. To verify this suspicion
and eliminate distance as a potentially important factor, examine the relationship
between delivery time and delivery distance.

Access Help To find out which graph shows the relationship between two variables, use Minitab
Help.
1 Choose Help ➤ Help.

2 Click the Index tab.

3 In Type in the keyword to find, type Graphs and then double-click the Overview
entry to access the Help topic.
4 In the Help
topic, under the
heading Types
of graphs, click
Examine
relationships
between pairs of
variables.

2-8 Meet Minitab

Examining Relationships Between Two Variables Graphing Data

This Help topic suggests that a scatterplot is the best choice to see the relationship
between delivery time and delivery distance.

For help on any Minitab dialog box, click Help in the lower left corner of the dialog box or press
1. For more information on Minitab Help, see Chapter 10, Getting Help.

Create a 1 Choose Graph ➤ Scatterplot.
scatterplot 2 Choose With Regression, then click OK.

3 Under Y variables, enter Days.
Under X variables, enter
Distance.

Meet Minitab 2-9

Chapter 2 Examining Relationships Between Two Variables

4 Click Multiple Graphs, then click the
By Variables tab.
5 In By variables with groups in separate
panels, enter Center.

Graph
window
output

Interpret The points on the scatterplot exhibit no apparent pattern at any of the three centers.
results The regression line for each center is relatively flat, suggesting that the proximity of a
delivery location to a shipping center does not affect the delivery time.

Edit To help your colleagues quickly interpret the scatterplot, you want to add a footnote
scatterplot to the plot.
1 Click the scatterplot to make it active.

2 Choose Editor ➤ Add ➤ Footnote.

3 In Footnote, type Relationship between
delivery time and distance from shipping
center.
4 Click OK.

2-10 Meet Minitab

Using Graph Layout and Printing Graphing Data

Graph
window
output

Interpret The scatterplot now features a footnote that provides a brief interpretation of the
results results.

Using Graph Layout and Printing
Use Minitab’s graph layout tool to place multiple graphs on the same page. You can
add annotations to the layout and edit the individual graphs within the layout.
To show your supervisor the preliminary results of the graphical analysis of the
shipping data, display all four graphs on one page.

When you issue a Minitab command that you previously used in the same session, Minitab
remembers the dialog box settings. To set a dialog box back to its defaults, press 3.

Meet Minitab 2-11

Chapter 2 Using Graph Layout and Printing

Create graph 1 With the scatterplot active, choose Editor ➤ Layout Tool. The active graph, the
layout scatterplot, is already included in the layout.
A list of all
open graphs

Buttons used
to move
graphs to and
from the
layout

The next graph
to be moved to
the layout

2 Click the scatterplot and drag it to the bottom right corner of the layout.

3 Click to place the individual value plot in the upper-left corner of the layout.
4 Click to place the grouped histogram in the upper-right corner.
5 Click to place the paneled histogram in the lower-left corner.
6 Click Finish.

Graph
window
output

If the worksheet data change after you create a layout, Minitab does not automatically update
the graphs in the layout. You must re-create the layout with the updated individual graphs.

2-12 Meet Minitab

Saving Projects Graphing Data

Annotate the You want to add a descriptive title to the layout.
layout 1 Choose Editor ➤ Add ➤ Title.

2 In Title, type Graphical Analysis of Shipping Center Data. Click OK.

Graph
window
output

Print graph You can print an individual graph or a layout just as you would any other Minitab
layout window.
1 Click the Graph window to make it active, then choose File ➤ Print Graph.

2 Click OK.

Saving Projects
Minitab data are saved in worksheets. You can also save Minitab projects which can
contain multiple worksheets. A Minitab project contains all your work, including the
data, Session window output, graphs, history of your session, ReportPad contents,
and dialog box settings. When you open a project, you can resume working where
you left off.

Meet Minitab 2-13

Chapter 2 What Next

Save a Save all of your work in a Minitab project.
Minitab 1 Choose File ➤ Save Project
project As.
2 In File name, type
MY_GRAPHS.MPJ.
Minitab automatically adds
the extension .MPJ to the
file name when you save the
project.
3 Click Save.

If you close a project before saving it, Minitab prompts you to save the project.

What Next
The graphical output indicates that the three shipping centers have different delivery
times for book orders. In the next chapter, you display descriptive statistics and
perform an analysis of variance (ANOVA) to test whether the differences among the
shipping centers are statistically significant.

2-14 Meet Minitab

3
Analyzing Data
Objectives
■ Display and interpret descriptive statistics, page 3-2
■ Perform and interpret a one-way ANOVA, page 3-4
■ Display and interpret built-in graphs, page 3-4
■ Access the StatGuide, page 3-8
■ Use the Project Manager, page 3-10

Overview
The field of statistics provides principles and methodologies for collecting,
summarizing, analyzing, and interpreting data, and for drawing conclusions from
analysis results. Statistics can be used to describe data and to make inferences, both
of which can guide decisions and improve processes and products.
Minitab provides:
■ Many statistical methods organized by category, such as regression, ANOVA,
quality tools, and time series
■ Built-in graphs to help you understand the data and validate results
■ The ability to display and store statistics and diagnostic measures
This chapter introduces Minitab’s statistical commands, built-in graphs, StatGuide,
and Project Manager. You want to assess the number of late and back orders, and test
whether the difference in delivery time among the three shipping centers is
statistically significant.

For more information on Minitab’S statistical features, go to Stat menu in the Minitab Help
index.

Meet Minitab 3-1

Chapter 3 Displaying Descriptive Statistics

Displaying Descriptive Statistics
Descriptive statistics summarize and describe the prominent features of data.
Use Display Descriptive Statistics to find out how many book orders were delivered
on time, how many were late, and the number that were initially back ordered for
each shipping center.

Display 1 If continuing from the previous chapter, choose File ➤ New, then choose
descriptive Minitab Project. Click OK. Otherwise, just start Minitab.
statistics 2 Choose File ➤ Open Worksheet.


SHIPPINGDATA.MTW. Click Open. This worksheet is the same one you used
in Chapter 2, Graphing Data.
5 Choose Stat ➤ Basic Statistics ➤ Display
Descriptive Statistics.
6 In Variables, enter Days.

7 In By variables (optional), enter Center Status.
For most Minitab commands, you only need to
complete the main dialog box to execute the
command. But, you can often use subdialog
boxes to modify the analysis or display additional
output, like graphs.
8 Click Statistics.

9 Uncheck First quartile, Median, Third
quartile, N nonmissing, and N missing.
10 Check N total.

Changes made in the Statistics subdialog box affect the current session only. To change the
default settings for future sessions, use Tools ➤ Options ➤ Individual Commands ➤ Display
Descriptive Statistics. When you open the Statistics subdialog box again, it reflects your
preferences.

3-2 Meet Minitab

Displaying Descriptive Statistics Analyzing Data

Session Descriptive Statistics: Days
window
output Results for Center = Central

Total
Variable Status Count Mean SE Mean StDev Minimum Maximum
Days Back order 6 * * * * *
Late 6 6.431 0.157 0.385 6.078 7.070
On time 93 3.826 0.119 1.149 1.267 5.983

Results for Center = Eastern

Total
Late 9 6.678 0.180 0.541 6.254 7.748
On time 92 4.234 0.112 1.077 1.860 5.953

Results for Center = Western

Total
On time 102 2.981 0.108 1.090 0.871 5.681

The Session window displays text output, which you can edit, add to the ReportPad, and print.
The ReportPad is discussed in Chapter 7, Generating a Report.

Interpret The Session window presents each center’s results separately. Within each center,
results you can find the number of back, late, and on-time orders in the Total Count
column.
■ The Eastern shipping center has the most back orders (8) and late orders (9).
■ The Central shipping center has the next greatest number of back orders (6) and
late orders (6).
■ The Western shipping center has the smallest number of back orders (3) and no
late orders.
You can also review the Session window output for the mean, standard error of the
mean, standard deviation, minimum, and maximum of order status for each center.
These statistics are not given for back orders because no delivery information exists
for these orders.

Meet Minitab 3-3

Chapter 3 Performing an ANOVA

Performing an ANOVA
One of the most commonly used methods in statistical decisions is hypothesis
testing. Minitab offers many hypothesis testing options, including t-tests and analysis
of variance. Generally, a hypothesis test assumes an initial claim to be true, then tests
this claim using sample data.
Hypothesis tests include two hypotheses: the null hypothesis (denoted by H0) and the
alternative hypothesis (denoted by H1). The null hypothesis is the initial claim and is
often specified using previous research or common knowledge. The alternative
hypothesis is what you may believe to be true.
Based on the graphical analysis you performed in the previous chapter and the
descriptive analysis above, you suspect that the difference in the average number of
delivery days (response) across shipping centers (factor) is statistically significant. To
verify this, perform a one-way ANOVA, which tests the equality of two or more
means categorized by a single factor. Also, conduct a Tukey’s multiple comparison
test to see which shipping center means are different.

Perform an 1 Choose Stat ➤ ANOVA ➤ One-Way.
ANOVA 2 In Response, enter Days. In Factor, enter Center.
In many dialog boxes for statistical commands, you
can choose frequently used or required options.
Use the subdialog box buttons to choose other
options.

3 Click Comparisons.

4 Check Tukey’s, family error rate, then click OK.

3-4 Meet Minitab

Performing an ANOVA Analyzing Data

5 Click Graphs.
For many statistical commands, Minitab
includes built-in graphs that help you
interpret the results and assess the validity
of statistical assumptions.
6 Check Individual value plot and Boxplots
of data.
7 Under Residual Plots, choose Four in one.


Session One-way ANOVA: Days versus Center
window
output Source DF SS MS F P
Center 2 114.63 57.32 39.19 0.000
Error 299 437.28 1.46
Total 301 551.92

S = 1.209 R-Sq = 20.77% R-Sq(adj) = 20.24%

Individual 95% CIs For Mean Based on
Pooled StDev
Level N Mean StDev -----+---------+---------+---------+----
Central 99 3.984 1.280 (----*---)
Eastern 101 4.452 1.252 (----*----)
Western 102 2.981 1.090 (----*---)
-----+---------+---------+---------+----
3.00 3.50 4.00 4.50

Pooled StDev = 1.209

Tukey 95% Simultaneous Confidence Intervals
All Pairwise Comparisons among Levels of Center

Individual confidence level = 98.01%

Center = Central subtracted from:

Center Lower Center Upper ---------+---------+---------+---------+
Eastern 0.068 0.468 0.868 (---*---)
Western -1.402 -1.003 -0.603 (---*---)
---------+---------+---------+---------+
-1.0 0.0 1.0 2.0

Meet Minitab 3-5


Center = Eastern subtracted from:

Center Lower Center Upper ---------+---------+---------+---------+
Western -1.868 -1.471 -1.073 (---*---)
---------+---------+---------+---------+
-1.0 0.0 1.0 2.0

Interpret The decision-making process for a hypothesis test can be based on the probability
results value (p-value) for the given test.
■ If the p-value is less than or equal to a predetermined level of significance
(α-level), then you reject the null hypothesis and claim support for the alternative
hypothesis.
■ If the p-value is greater than the α-level, you fail to reject the null hypothesis and
cannot claim support for the alternative hypothesis.
In the ANOVA table, the p-value (0.000) provides sufficient evidence that the
average delivery time is different for at least one of the shipping centers from the
others when α is 0.05. In the individual 95% confidence intervals table, notice that
none of the intervals overlap, which supports the theory that the means are
statistically different. However, you need to interpret the multiple comparison results
to see where the differences exist among the shipping center averages.
Tukey’s test provides two sets of multiple comparison intervals:
■ Central shipping center mean subtracted from Eastern and Western shipping
center means
■ Eastern shipping center mean subtracted from Western center mean
The first interval in the first set of the Tukey output is 0.068 to 0.868. That is, the
mean delivery time of the Eastern center minus that of the Central center is
somewhere between 0.068 and 0.868 days. Because the interval does not include
zero, the difference in delivery time between the two centers is statistically
significant. The Eastern center’s deliveries take longer than the Central center’s
deliveries. You similarly interpret the other Tukey test results. The means for all
shipping centers differ significantly because all of the confidence intervals exclude
zero. Therefore, all the shipping centers have significantly different average delivery
times. The Western shipping center has the fastest mean delivery time (2.981 days).

3-6 Meet Minitab


Graph
window
output

Interpret The individual value plots and boxplots indicate that the delivery time varies by
results shipping center, which is consistent with the graphs from the previous chapter. The
boxplot for the Eastern shipping center indicates the presence of one outlier
(indicated by ∗), which is an order with an unusually long delivery time.
Use residual plots, available with many statistical commands, to check statistical
assumptions:
■ Normal probability plot—to detect nonnormality. An approximately straight line
indicates that the residuals are normally distributed.
■ Histogram of the residuals—to detect multiple peaks, outliers, and nonnormality.
The histogram should be approximately symmetric and bell-shaped.
■ Residuals versus the fitted values—to detect nonconstant variance, missing
higher-order terms, and outliers. The residuals should be scattered randomly
around zero.
■ Residuals versus order—to detect time-dependence of residuals. The residuals
should exhibit no clear pattern.

Meet Minitab 3-7


For the shipping data, the four-in-one residual plots indicate no violations of
statistical assumptions. The one-way ANOVA model fits the data reasonably well.

In Minitab, you can display each of the residual plots on a separate page. You can also create a
plot of the residuals versus the variables.

Access You want more information on how to interpret a one-way ANOVA, particularly
StatGuide Tukey’s multiple comparison test. Minitab StatGuide provides detailed information
about the Session and Graph window output for most statistical commands.
1 Place your cursor anywhere in the one-way ANOVA Session window output.

2 Click on the Standard toolbar.

The MiniGuide
window contains
a list of one-way
ANOVA topics.

The main StatGuide
window contains a
one-way ANOVA
summary.

3 You want to learn more about Tukey’s multiple comparison method. In the
MiniGuide window, click Tukey’s method.

3-8 Meet Minitab


The MiniGuide window
displays sample Tukey’s
method output.

The main StatGuide window
contains information about
Tukey’s method and
guidance for interpreting
the sample output.

4 If you like, use to browse through the one-way ANOVA topics.
5 In the StatGuide window, choose File ➤ Exit.

For more information about using the StatGuide, see StatGuide on page 10-8 or go to StatGuide
Overview on the StatGuide Contents page.

Save project Save all your work in a Minitab project.
1 Choose File ➤ Save Project As.

2 In File name, type MY_STATS.MPJ.

3 Click Save.

Meet Minitab 3-9

Chapter 3 Using Minitab’s Project Manager

Using Minitab’s Project Manager
Now you have a Minitab project that contains a worksheet, several graphs, and
Session window output from your analyses. The Project Manager helps you navigate,
view, and manipulate parts of your Minitab project.
Use the Project Manager to view the statistical analyses you just conducted.

Open Project 1 To access the Project Manager, click on the Project Manager toolbar or
Manager press c+I.

You can easily view the Session window output and graphs by choosing from the list
in the right pane. You can also use the icons on the Project Manager toolbar to
access different output.
For more information, see Project Manager on page 11-3.

View Session You want to review the one-way ANOVA output. To become familiar with the Project
window Manager toolbar, use the Show Session Folder icon on the toolbar, which opens
output the Session window.
1 Click on the Project Manager toolbar.
2 Double-click One-way ANOVA: Days versus Center in the left pane.

3-10 Meet Minitab

Using Minitab’s Project Manager Analyzing Data

The Project Manager displays the one-way ANOVA Session window output in the
right pane.

View graphs You also want to view the boxplot again. Use the Show Graphs icon on the
toolbar.
1 Click on the Project Manager toolbar.
2 In the left pane, double-click Boxplot of Days by Center in the left pane.

The Project Manager displays the boxplot in the Graph window in the right pane.

Meet Minitab 3-11

Chapter 3 What Next

What Next
The descriptive statistics and ANOVA results indicate that the Western center has the
fewest late and back orders and the shortest delivery time. In the next chapter, you
create a control chart and conduct a capability analysis to investigate whether the
Western shipping center’s process is stable over time and is capable of operating
within specifications.

3-12 Meet Minitab

4
Assessing Quality
Objectives
■ Set options for control charts, page 4-2
■ Create and interpret control charts, page 4-3
■ Update a control chart, page 4-5
■ View subgroup information, page 4-7
■ Add a reference line to a control chart, page 4-7
■ Conduct and interpret a capability analysis, page 4-9

Overview
Quality is the degree to which products or services meet the needs of customers.
Common objectives for quality professionals include reducing defect rates,
manufacturing products within specifications, and standardizing delivery time.
Minitab offers a wide array of methods to help you evaluate quality in an objective,
quantitative way: control charts, quality planning tools, and measurement systems
analysis (gage studies), process capability, and reliability/survival analysis. This
chapter discusses control charts and process capability.
Features of Minitab control charts include:
■ The ability to choose how to estimate parameters and control limits, as well as
display tests for special causes and historical stages.
■ Customizable attributes, such as adding a reference line, changing the scale, and
modifying titles. As with other Minitab graphs, you can customize control charts
when and after you create them.

Meet Minitab 4-1

Chapter 4 Evaluating Process Stability

Features of process capability commands include:
■ The ability to analyze many data distribution types, such as normal, exponential,
Weibull, gamma, Poisson, and binomial.
■ An array of charts that can be used to verify that the process is in control and that
the data follow the chosen distribution.
The graphical and statistical analyses conducted in the previous chapter show that
the Western shipping center has the fastest delivery time. In this chapter, you
determine whether the center’s process is stable (in control) and capable of operating
within specifications.

Evaluating Process Stability
Use control charts to track process stability over time and to detect the presence of
special causes, which are unusual occurrences that are not a normal part of the
process.
Minitab plots a process statistic—such as a subgroup mean, individual observation,
weighted statistic, or number of defects—versus a sample number or time. Minitab
draws the:
■ Center line at the average of the statistic
■ Upper control limit (UCL) at 3 standard deviations above the center line
■ Lower control limit (LCL) at 3 standard deviations below the center line
For all control charts, you can modify Minitab’s default chart specifications. For
example, you can define the estimation method for the process standard deviation,
specify the tests for special causes, and display process stages by defining historical
stages.

For additional information on Minitab’s control charts, go to Control Charts in the Minitab Help
index.

Set options Before you create a control chart for the book shipping data, you want to specify
for control options different from Minitab’s defaults for testing the randomness of the data for all
charts control charts.
The Automotive Industry Action Group (AIAG) suggests using the following
guidelines to test for special causes:
■ Test 1: 1 point > 3 standard deviations from center line
■ Test 2: 9 points in a row on the same side of center line
■ Test 3: 6 points in a row, all increasing or all decreasing

4-2 Meet Minitab

Evaluating Process Stability Assessing Quality

Also, in accordance with AIAG guidelines, for all future control charts, you want to
use a value of 7 for tests 2 and 3. You can easily do this by setting options for your
control charts analysis. When you set options, affected dialog boxes automatically
reflect your preferences.
1 Choose Tools ➤
Options ➤ Control
Charts and Quality
Tools ➤ Tests.
2 Check the first three
tests.
3 Under K for the
second test, change
the value to 7.
4 Under K for the third
test, change the value
to 7.
5 Click OK.

If you set options, you can restore Minitab’s default settings at any time. For more information,
see Restoring Minitab’s Default Settings on page 9-6.

Create Now you are ready to create a control chart to see whether the delivery process is
X and S chart stable over time. You randomly select 10 samples for 20 days to examine changes in
the mean and variability of delivery time. Create an X and S chart with which you
can monitor the process mean and variability simultaneously. Use X and S charts
when you have subgroups of size 9 or more.
1 If continuing from the previous chapter, choose File ➤ New, then choose
Minitab Project. Click OK. Otherwise, just start Minitab.
2 Choose File ➤ Open Project.

3 Navigate to C:Program FilesMinitab 15EnglishSample DataMeet Minitab.
(Adjust this if you chose to install Minitab to a location other than the default.)
4 Choose QUALITY.MPJ. Click Open.

5 Choose Stat ➤ Control Charts ➤ Variables Charts for Subgroups ➤ Xbar-S.
To create a control chart, you only need to complete the main dialog box. However,
you can click any button to select options for customizing your chart.

Meet Minitab 4-3


6 Choose All observations for a
chart are in one column, then
enter Days.
7 In Subgroup sizes, enter Date.

8 Click Xbar-S Options, then click
the Tests tab. Notice this dialog box
reflects the tests and test values you
specified earlier. (See Set options for
control charts on page 4-2.)
You can click any tab to open dialog
boxes to customize your control chart.
Available tabs depend on whatever is
appropriate for the chart type.
Parameters, Estimate, Display, and
Storage are available for all control
charts. Stages, Tests, S Limits, and
Box-Cox are available for most charts.
Other options are available for specific charts.

Graph
window
output

4-4 Meet Minitab


Interpret The data points for the Western shipping center fall within the bounds of the control
X and S chart limits, and do not display any nonrandom patterns. Therefore, the process mean and
process standard deviation appear to be in control (stable). The mean ( ), is 2.985,
and the average standard deviation ( S) is 0.629.

Update Graph updating allows you to update a graph when the data change without
control chart re-creating the graph. Graph updating is available for all graphs in the Graph menu
(except Stem-and-Leaf) and all control charts.
After creating the X and S chart, the Western shipping center manager gives you
more data collected on 3/23/2006. Add the data to the worksheet and update the
control chart.

Add the data to the worksheet
You need to add both date/time data to C1 and numeric data to C2.
1 Click the Data window to make it active.

2 Place your cursor in any cell in C1, then press j to go to the bottom of the
worksheet.
3 To add the date 3/23/2006 to rows 201–210:

■ First, type 3/23/2006 in row 201 in C1.
■ Then, select the cell containing 3/23/2006,
place the cursor over the Autofill handle in
the lower-right corner of the highlighted cell.
When the mouse is over the handle, a cross
symbol (+) appears. Press c and drag the
cursor to row 210 to fill the cells with the
repeated date value. When you hold c
down, a superscript cross appears above the
Autofill cross symbol (++), indicating that
repeated, rather than sequential, values will
be added to the cells.
4 Add the following data to C2, starting in row 201:
3.60 2.40 2.80 3.21 2.40 2.75 2.79 3.40 2.58 2.50

Meet Minitab 4-5


If the data entry arrow is facing downward, pressing e moves the cursor to the
next cell down.

Data entry arrow

5 Verify that you entered the data correctly.

Update the control chart
1 Right-click the X and S chart and choose Update Graph Now.

Graph
window
output

The X and S chart now includes the new subgroup. The mean ( = 2.978) and
standard deviation ( S = 0.6207) have changed slightly, but the process still appears to
be in control.

To update all graphs and control charts automatically:
1 Choose Tools ➤ Options ➤ Graphics ➤ Other Graphics Options.
2 Check On creation, set graph to update automatically when data change.

4-6 Meet Minitab


View As with any Minitab graph, when you move your mouse over the points in a control
subgroup chart, you see various information about the data.
information You want to find out the mean of sample 9, the subgroup with the largest mean.
1 Move your mouse over the data point for sample 9.

Graph
window
output

Interpret The data tip shows that sample 9 has a mean delivery time of 3.369 days.
results

Add A goal for the online bookstore is for all customers to receive their orders in 3.33 days
reference line (80 hours) on average, so you want to compare the average delivery time for the
Western shipping center to this target. You can show the target level on the X chart
by adding a reference line.
1 Right-click the X chart (the top chart),
and choose Add ➤ Reference Lines.
2 In Show reference lines at Y values,
type 3.33.
3 Click OK.

Meet Minitab 4-7

Chapter 4 Evaluating Process Capability

Graph
window
output

Interpret The center line ( ) is well below the reference line, indicating that, on average, the
results Western shipping center delivers books faster than the target of 3.33 days. Only
subgroup 9 has a delivery time that falls above the reference line (> 3.33).

Evaluating Process Capability
After you determine that a process is in statistical control, you want to know whether
the process is capable—does it meet specifications and produce “good” parts or
results? You determine capability by comparing the spread of the process variation to
the width of the specification limits. If the process is not in control before you assess
its capability, you may get incorrect estimates of process capability.
In Minitab, you can assess process capability graphically by drawing capability
histograms and capability plots. These graphs help you assess the distribution of the
data and verify that the process is in control. Capability indices, or statistics, are a
simple way of assessing process capability. Because process information is reduced to
a single number, you can use capability statistics to compare the capability of one
process to another. Minitab offers capability analysis for many distribution types,
including normal, exponential, Weibull, gamma, Poisson, and binomial.

For more information on process capability, go to Process Capability in the Minitab Help index.

4-8 Meet Minitab

Evaluating Process Capability Assessing Quality

Conduct Now that you know the delivery process is in control, conduct a capability analysis to
capability determine whether the book delivery process is within specification limits and results
analysis in acceptable delivery times. The target value of the delivery process is 3.33 days.
The upper specification limit (USL) is 6 (an order that is received after 6 days is
considered late); no lower specification limit (LSL) is identified. The distribution is
approximately normal, so you can use a normal capability analysis.
1 Choose Stat ➤ Quality Tools ➤
Capability Analysis ➤ Normal.
2 Under Data are arranged as,
choose Single column. Enter
Days.
3 In Subgroup size, enter Date.

4 In Upper spec, type 6.

5 Click Options. In Target (adds
Cpm to table), type 3.33.
As with other Minitab
commands, you can modify a
capability analysis either by specifying
information in the main dialog box or
by clicking one of the subdialog box
buttons.

Graph
window
output

Meet Minitab 4-9

Chapter 4 What Next

Interpret All the potential and overall capability statistics are larger than 1.33 (a generally
results accepted minimum value), indicating the Western shipping center’s process is
capable and, therefore, delivers orders in an acceptable amount of time.
The Cpm value (the ratio of the specification spread, USL – LSL, to the square root
of the mean squared deviation from the target value) is 1.22, which indicates that the
process does not meet the target value. The X chart with the reference line shows
that the process average fell below the target value, indicating favorable results. You
conclude that customers, on average, are getting their orders sooner than the goal of
3.33 days.

For more information on how to interpret capability analyses, go to the capability analysis
topics in the StatGuide.

Save project Save all of your work in a Minitab project.

2 In File name, type MY_QUALITY.MPJ.

3 Click Save.

What Next
The quality analysis indicates that the Western shipping center’s process is in control
and is capable of meeting specification limits. In the next chapter, you design an
experiment and analyze the results to investigate ways to further improve the order
and delivery process at the Western shipping center.

4-10 Meet Minitab

5
Designing an
Experiment
Objectives
■ Become familiar with designed experiments in Minitab, page 5-1
■ Create a factorial design, page 5-2
■ View a design and enter data in the worksheet, page 5-5
■ Analyze a design and interpret results, page 5-6
■ Create and interpret main effects and interaction plots, page 5-9

Overview
Design of experiments (DOE) capabilities provide a method for simultaneously
investigating the effects of multiple variables on an output variable (response). These
experiments consist of a series of runs, or tests, in which purposeful changes are
made to input variables or factors, and data are collected at each run. Quality
professionals use DOE to identify the process conditions and product components
that influence quality and then determine the input variable (factor) settings that
maximize results.
Minitab offers four types of designed experiments: factorial, response surface,
mixture, and Taguchi (robust). The steps you follow in Minitab to create, analyze,
and graph an experimental design are similar for all design types. After you conduct
the experiment and enter the results, Minitab provides several analytical and
graphing tools to help you understand the results. While this chapter demonstrates
the typical steps for creating and analyzing a factorial design, you can apply these
steps to any design you create in Minitab.

Meet Minitab 5-1

Chapter 5 Creating an Experimental Design

Features of Minitab DOE commands include:
■ Catalogs of experimental designs from which you can choose, to make creating a
design easier
■ Automatic creation and storage of your design once you have specified its
properties
■ Ability to display and store diagnostic statistics, to help you interpret the results
■ Graphs that assist you in interpreting and presenting the results
In this chapter, you want to further improve the amount of time it takes to get orders
to customers from the Western shipping center. After evaluating many potentially
important factors, you decide to investigate two factors that may decrease the time to
prepare an order for shipment: the order processing system and packing procedure.
The Western center is experimenting with a new order processing system and you
want to determine if it will speed up order preparation. The center also has two
different packing procedures and you want to investigate which one is more efficient.
You decide to conduct a factorial experiment to find out which combination of
factors results in the shortest time to prepare an order for shipment. The results of
this experiment will help you make decisions about the order processing system and
packing procedures used in the shipping center.

For more information on the types of designs that Minitab offers, go to DOE in the Minitab Help
index.

Creating an Experimental Design
Before you can enter or analyze measurement data in Minitab, you must first create
an experimental design and store it in the worksheet. Depending on the
requirements of your experiment, you can choose from a variety of designs. Minitab
helps you select a design by providing a list of all the available designs. Once you
have chosen the design and its features, Minitab automatically creates the design and
stores it in the worksheet for you.

Select design You want to create a factorial design to examine the relationship between two factors,
order processing system and packing procedure, and the time it takes to prepare an
order for shipping.

5-2 Meet Minitab

Creating an Experimental Design Designing an Experiment

2 Choose Stat ➤ DOE ➤ Factorial ➤ Create
Factorial Design.
When you create a design in Minitab,
initially only two buttons are enabled,
Display Available Designs and Designs. The
other buttons are enabled after you complete
the Designs subdialog box.

3 Click Display Available Designs.
For most design types, Minitab
displays all the possible designs and
number of required runs in the
Display Available Designs dialog box.
4 Click OK to return to the main dialog
box.
5 Under Type of Design, choose 2-level
factorial (default generators).
6 In Number of factors, choose 2.

7 Click Designs.
The box at the top shows all available designs
for the design type and the number of factors
you chose. In this example, because you are
conducting a factorial design with two factors,
you have only one option: a full factorial design
with four runs. A two-level design with two
factors has 22 (or four) possible factor
combinations.
8 In Number of replicates for corner points, choose 3.

9 Click OK to return to the main dialog box. Notice that Minitab enables the
remaining buttons.

Name factors Minitab enters the names and levels you enter for each factor into the worksheet and
and set factor uses the names as the labels for the factors on the analysis output and graphs. If you
levels do not enter factor levels, Minitab sets the low level at –1 and the high level at 1.

Meet Minitab 5-3

Chapter 5 Creating an Experimental Design

1 Click Factors.
2 Click the first row of the Name column to
change the name of the first factor. Then, use
the arrow keys to navigate within the table,
moving across rows or down columns. In the
row for:
■ Factor A, type OrderSystem in Name, New
in Low, and Current in High. Under Type, choose Text.
■ Factor B, type Pack in Name, A in Low, and B in High. Under Type, choose
Text.
3 Click OK to return to the main dialog box.

Randomize By default, Minitab randomizes the run order of all design types, except Taguchi
and store designs. Randomization helps to ensure that the model meets certain statistical
design assumptions and can also help reduce the effects of factors not included in the study.
Setting the base for the random data generator ensures you obtain the same run
order every time you create the design. While you usually would not do this in
practice, setting the base gives the same run order that is used in this example.
1 Click Options.

2 In Base for random data generator, type 9.

3 Make sure Store design in worksheet is
checked. Click OK in each dialog box.

5-4 Meet Minitab

Viewing the Design Designing an Experiment

Viewing the Design
Every time you create a design, Minitab stores design information and factors in
worksheet columns. Open the Data window to see the structure of a typical design.
You can also open the worksheet DOE.MTW in the Meet Minitab data folder,
which includes the design and the response data.

View design 1 Choose Window ➤ Worksheet 1.

The RunOrder column (C2), which is randomly determined, indicates the order
in which you should collect data. If you do not randomize a design, the StdOrder
and RunOrder columns are the same.
In this example, because you did not add center points or block the design,
Minitab sets all the values in C3 and C4 to 1. The factors are stored in columns
C5 and C6, labeled OrderSystem and Pack. Because you entered the factor levels
in the Factors subdialog box, you see the actual levels in the worksheet.

You can use Stat ➤ DOE ➤ Display Design to switch back and forth between a random and
standard order display, and between a coded and uncoded display in the worksheet.
To change the factor settings or names, use Stat ➤ DOE ➤ Modify Design. If you only need to
change the factor names, you can type them directly in the Data window.

Entering Data
After you conduct the experiment and collect the data, you can enter the data into
the worksheet. The characteristic you measure is called a response.
In this example, you measure the number of hours needed to prepare an order for
shipment. You obtained the following data from the experiment:
14.72 9.62 13.81 7.97 12.52 13.78 14.64 9.41 13.89 13.89 12.57 14.06

Meet Minitab 5-5

Chapter 5 Analyzing the Design

Enter data 1 In the Data window, click the column name cell of C7 and type Hours.
into 2 Type the observed hours listed
worksheet above into the Hours column of
the Data window.
You can enter data in any
columns except in those
containing design information.
You can also enter multiple
responses for an experiment, one
per column.

Print a data collection form by choosing File ➤ Print Worksheet and making sure Print Grid
Lines is checked. Use this form to record measurements while you conduct the experiment.

Analyzing the Design
Now that you have created a design and collected the response data, you can fit a
model to the data and generate graphs to evaluate the effects. Use the results from
the fitted model and graphs to see which factors are important for reducing the
number of hours needed to prepare an order for shipment.

Fit a model Because you have created and stored a factorial design, Minitab enables the DOE ➤
Factorial menu commands Analyze Factorial Design and Factorial Plots. At this
point, you can fit a model or generate plots, depending on the design. In this
example, you fit the model first.
1 Choose Stat ➤ DOE ➤ Factorial ➤
Analyze Factorial Design.
2 In Responses, enter Hours.
You must enter a response column
before you can open the subdialog
boxes.

5-6 Meet Minitab

Analyzing the Design Designing an Experiment

3 Click Terms. Check to make sure that A:
OrderSystem, B: Pack and AB are in the Selected
Terms box.
When analyzing a design, always use the Terms
subdialog box to select the terms to include in the
model. You can add or remove factors and
interactions by using the arrow buttons. Use the
check boxes to include blocks and center points in
the model.
4 Click OK.

5 Click Graphs.
6 Under Effects Plots, check Normal and
Pareto.
Effects plots are only available in
factorial designs. Residual plots, helpful
in checking model assumptions, can be
displayed for all design types.

Identify You can use both the Session window output and the two effects plots to determine
important which effects are important to your process. First, look at the Session window output.
effects

Session Factorial Fit: Hours versus OrderSystem, Pack
window
output Estimated Effects and Coefficients for Hours (coded units)

Term Effect Coef SE Coef T P
Constant 12.573 0.1929 65.20 0.000
OrderSystem 3.097 1.548 0.1929 8.03 0.000
Pack -2.320 -1.160 0.1929 -6.01 0.000
OrderSystem*Pack 1.730 0.865 0.1929 4.49 0.002

S = 0.668069 PRESS = 8.0337
R-Sq = 93.79% R-Sq(pred) = 86.02% R-Sq(adj) = 91.46%

Meet Minitab 5-7

Chapter 5 Analyzing the Design

Analysis of Variance for Hours (coded units)

Source DF Seq SS Adj SS Adj MS F P
Main Effects 2 44.9152 44.9152 22.4576 50.32 0.000
2-Way Interactions 1 8.9787 8.9787 8.9787 20.12 0.002
Residual Error 8 3.5705 3.5705 0.4463
Pure Error 8 3.5705 3.5705 0.4463
Total 11 57.4645

Estimated Coefficients for Hours using data in uncoded units

Term Coef
Constant 12.5733
OrderSystem 1.54833
Pack -1.16000
OrderSystem*Pack 0.865000

Alias Structure
I
OrderSystem
Pack
OrderSystem*Pack

You fit the full model, which includes the two main effects and the two-way
interaction. Use the p-values (P) in the Estimated Effects and Coefficients table to
determine which effects are significant. Using α = 0.05, the main effects for order
processing system (OrderSystem) and packing procedure (Pack) and the
OrderSystem∗Pack interaction are statistically significant; that is, their p-values are
less than 0.05.

Interpret Next, evaluate the normal probability plot and the Pareto chart of the standardized
effects plots effects to see which effects influence the response, Hours.
1 To make the normal
probability plot the
active window, choose
Window ➤ Effects
Plot for Hours.
Significant terms are
identified by a square
symbol. OrderSystem
(A), Pack (B), and
OrderSystem∗Pack
(A∗B) are significant
(α = 0.05).
2 To make the Pareto
chart the active window, choose Window ➤ Effects Pareto for Hours.

5-8 Meet Minitab

Drawing Conclusions Designing an Experiment

Minitab displays the
absolute value of the
effects on the Pareto
chart. Any effects that
extend beyond the
reference line are
significant at the
default level of 0.05.
OrderSystem (A),
Pack (B) and
OrderSystem∗Pack
(A∗B) are all significant
(α = 0.05).

Drawing Conclusions
Display Minitab provides design-specific graphs you can use to interpret your results.
factorial plots In this example, you generate two factorial plots that enable you to visualize the
effects—a main effects plot and an interaction plot.
1 Choose Stat ➤ DOE ➤ Factorial ➤ Factorial Plots.

2 Check Main Effects Plot, then click Setup.

3 In Responses, enter Hours.

4 Select the terms you want
to plot:
■ Click A:OrderSystem
under Available. Then
click to move
A:OrderSystem factor to
Selected.
■ Repeat these actions to
move B:Pack to
Selected. Click OK.
5 Check Interaction Plot, then click Setup.

6 Repeat steps 3 and 4.

Meet Minitab 5-9

Chapter 5 Drawing Conclusions


Evaluate plots Examine the plot that shows the effect of using the new versus current order
processing system, or using packing procedure A versus B. These one-factor effects
are called main effects.
1 Choose Window ➤ Main Effects Plot for Hours to make the main effects plot
active.

This point shows the
mean of all runs using
the current order
processing system.

This line shows
the mean of all
This point shows the mean of the response
all runs using the new order (Hours) in the
processing system. experiment.

The order processing system and packing procedure have a similar effect on order
preparation time. That is, the line connecting the mean responses for the new
and current order processing system has a slope similar to slope of the line
connecting the mean response for packing procedure A and packing procedure B.
The plot also indicates that orders using:
■ The new order processing system took less time than orders that used the
current order processing system.
■ Packing procedures B took less time than orders that used packing procedure A
If there were no significant interactions between the factors, a main effects plot
would adequately describe where you can get the biggest payoff for changes to
your process. Because the interaction in this example is significant, you should
next examine the interaction plot. A significant interaction between two factors
can affect the interpretation of the main effects.

5-10 Meet Minitab

What Next Designing an Experiment

2 Choose Window ➤ Interaction Plot for Hours to make the interaction plot
active.

The vertical scale (y-axis) is in
units of the response (Hours).

This legend
displays the
levels of the
first factor
(OrderSystem).

This point is the mean
time required to prepare
packages using the new
order processing system
and packing procedure A. The horizontal scale (x-axis) shows the
levels of the second factor (Pack).

An interaction plot shows the impact that changing the settings of one factor has
on another factor. Because an interaction can magnify or diminish main effects,
evaluating interactions is extremely important.
The plot shows that book orders processed with the new order processing system
and packing procedure B took the fewest hours to prepare (about 9 hours). Orders
processed with the current order processing system and packing procedure A took
the longest to prepare (about 14.5 hours). Because the slope of the line for the
new order processing system is steeper, you conclude that the packing procedure
has a greater effect when the new order processing system is used versus the
current order processing system.
Based on the results of the experiment, you recommend that the Western
shipping center use the new order processing system and packing procedure B to
speed up the book shipping process.

Save Project 1 Choose File ➤ Save Project As.

2 Double-click Meet Minitab. In File name, enter MY_DOE.MPJ.

3 Click Save.

What Next
The factorial experiment indicates you can decrease the time it takes to prepare
orders at the Western shipping center by using the new order processing system and

Meet Minitab 5-11

Chapter 5 What Next

packing procedure B. In the next chapter, you learn how to use command language
and create and run Execs to quickly rerun an analysis when new data are collected.

5-12 Meet Minitab

6
Using Session
Commands
Objectives
■ Enable and type session commands, page 6-2
■ Conduct an analysis using session commands, page 6-3
■ Rerun a series of session commands with Command Line Editor, page 6-5
■ Create and run an Exec, page 6-7

Overview
Each menu command has a corresponding session command. Session commands
consist of a main command and, in most cases, one or more subcommands.
Commands are usually easy-to-remember words, such as PLOT, CHART, or SORT.
Both main commands and subcommands can be followed by a series of arguments,
which can be columns, constants, or matrices, text strings, or numbers.
Session commands can be:
■ Typed into the Session window or the Command Line Editor.
■ Copied from the History folder to the Command Line Editor. (When you use
menu commands, Minitab generates and stores the corresponding session
commands in the History folder.)
■ Copied and saved in a file called an Exec, which can be reexecuted and shared
with others or used in future sessions.

Meet Minitab 6-1

Chapter 6 Enabling and Typing Commands

Use session commands to quickly rerun an analysis in current or future sessions or as
an alternative to menu commands. Some users find session commands quicker to
use than menu commands once they become familiar with them.
The Western shipping center continuously collects and analyzes shipping time when
new data are available. In Chapter 4, Assessing Quality, you conducted a capability
analysis on data from March. In this chapter, you conduct a capability analysis on
data from April using session commands.

To learn more about session commands, choose Help ➤ Help, then click Session Commands
under References.

Enabling and Typing Commands
One way to use session commands is to directly type the commands and
subcommands at the command prompt in the Session window. However, Minitab
does not display the command prompt by default. To enter commands directly into
the Session window, you must enable this prompt.

Enable 1 If continuing from the previous chapter, choose File ➤ New, then choose
session Minitab Project and click OK. Otherwise, just start Minitab.
commands 2 Choose File ➤ Open Worksheet.


SESSIONCOMMANDS.MTW. Click Open.
5 Click the Session window to make it active.

6 Choose Editor ➤ Enable Commands. A check appears next to the menu item.

To change the default options and enable session commands for all future sessions:
1 Choose Tools ➤ Options ➤ Session Window ➤ Submitting Commands.
2 Under Command Language, click Enable.

6-2 Meet Minitab

Enabling and Typing Commands Using Session Commands

Examine With the command prompt enabled, you can now type session commands in the
Session Session window.
window

Command
prompt

When you execute a command from a menu and session commands are enabled, the
corresponding session command appears in the Session window along with your text output.
This technique provides a convenient way to learn session commands.

Conduct an In Chapter 4, Assessing Quality, you conducted a capability analysis to determine
analysis with whether shipping times were within specifications (less than six delivery days). To
session perform this analysis, you used Stat ➤ Quality Tools ➤ Capability Analysis ➤
commands Normal. Then, using two different dialog boxes, you entered several variables and
values.
To continue evaluating shipping times at the Western shipping center, you plan to
repeat this analysis at regular intervals. When you collect new data, you can re-create
this chart using just a few session commands, instead of filling out multiple dialog
boxes. Analyze the April shipping data using session commands.
1 In the Session window, at the MTB > prompt, type:
CAPABILITY 'Days' 'Date';
2 Press e.
The semicolon indicates that you want to type a subcommand.

Meet Minitab 6-3

Chapter 6 Enabling and Typing Commands

Notice that the MTB > prompt becomes SUBC>, allowing you to add
subcommands for the various options used in the earlier capability analysis.

Subcommand
prompt

3 At the SUBC> prompt, type:

USPEC 6;
4 Press e.

5 At the SUBC> prompt, type:
TARGET 3.33.
6 Press e.
The period indicates
the end of a command
sequence.
Minitab displays the
capability analysis for the
April shipping data.

For more information on session commands, including command and subcommand syntax,
type Help at the command prompt followed by the first four letters of the command name. For
general information on syntax notation, go to Help ➤ Help, then click Session Commands
under References. Go to Notation for session commands in the Session Command Help index.

6-4 Meet Minitab

Rerunning a Series of Commands Using Session Commands

Rerunning a Series of Commands
Minitab generates corresponding session commands for most of the menu
commands you used, and stores them in the Project Manager’s History folder. Rather
than repeat all the previous steps of your analysis using the menus, you can simply
rerun these commands by selecting them in the History folder and choosing Edit ➤
Command Line Editor.
Session commands for the capability analysis you just conducted are stored in the
History folder. Use the History folder and the Command Line Editor to re-create the
capability analysis.

Open History 1 Choose Window ➤ Project Manager.
folder 2 Click the History folder.

History
folder
session
commands

The right pane of the Project Manager contains all the session commands generated
during a Minitab session. These commands are stored regardless of whether the
command prompt is enabled.
When you select any portion of the session commands in the History folder, those
commands automatically appear in the Command Line Editor when you open it.

Reexecute 1 To highlight the capability analysis session commands, click CAPABILITY 'Days'
a series of 'Date'; then press s and click TARGET 3.33.
commands

Meet Minitab 6-5

Chapter 6 Repeating Analyses with Execs

2 Choose Edit ➤ Command Line
Editor.
3 Click Submit Commands.

Graph
window
output

You have re-created the capability analysis in just a few simple steps.

If you edit a graph or a control chart, Minitab does not automatically generate session
commands for the changes made. However, you can generate the session commands,
including all editing changes, by using:
■ Editor ➤ Copy Command Language, which copies the commands to the clipboard.
■ Editor ➤ Duplicate Graph, which re-creates the graph and stores the session commands in
the History folder.
For more information on Copy Command Language and Duplicate Graph, go to Editor menu
and choose the Graph window subentry in the Minitab Help index.

Repeating Analyses with Execs
An Exec is a text file containing a series of Minitab commands. To repeat an analysis
without using menu commands or typing session commands, save the commands as
an Exec and then run the Exec.

6-6 Meet Minitab

Repeating Analyses with Execs Using Session Commands

The commands stored in the History folder that you used to rerun the above series of
commands with the Command Line Editor can also be saved as an Exec and
executed at any time.

For more information about Execs and other more complex macros, choose Help ➤ Help, then
click Macros under References.

Create an Save the capability analysis session commands as an Exec. You can use this Exec to
Exec from the continuously analyze the shipping data.
History folder 1 Choose Window ➤ Project Manager.

2 Click the History folder.

3 To select the capability analysis session commands, click CAPABILITY 'Days'
'Date';, then press s and click TARGET 3.33.
4 Right-click the selected text and choose Save As.

5 In File name, type SHIPPINGGRAPHS.

6 In Save as type, choose Exec Files (∗.MTB). Click Save.

Reexecute You can repeat this analysis at any time by running the Exec.
commands 1 Choose File ➤ Other Files ➤ Run an Exec.

2 Click Select File.

3 Select the file SHIPPINGGRAPHS.MTB, then
click Open.

Meet Minitab 6-7

Chapter 6 What Next

Graph
window
output

Minitab executes the commands in the Exec to generate the capability analysis.
Because you can run the Exec using any worksheet (as long as the column names
match), you can share this file with other Minitab users who need to do the same
analysis. For example, the Western shipping center may want to share the capability
analysis Exec with the Central and Eastern shipping centers so they can conduct the
same analysis on their own shipping data. If you want to use the Exec with a different
worksheet or with different column, edit the Exec using a text editor such as
Notepad.


2 In File name, type MY_SESSIONCOMMANDS.MPJ.

3 Click Save.

What Next
You learned how to use session commands as an alternative to menu commands and
as a way to quickly rerun an analysis. In the next chapter, you create a report to show
the results of your analysis to your colleagues.

6-8 Meet Minitab

7
Generating a Report
Objectives
■ Add a graph to the ReportPad, page 7-2
■ Add Session window output to the ReportPad, page 7-3
■ Edit in the ReportPad, page 7-5
■ Save and view a report, page 7-6
■ Copy the ReportPad contents to a word processor, page 7-7
■ Edit a Minitab graph in another application, page 7-7

Overview
Minitab has several tools to help you create reports:
■ ReportPad in the Project Manager, to which you can add Minitab-generated
results throughout your sessions
■ Copy to Word Processor, which enables you to easily copy content from the
ReportPad to a word processor
■ Embedded Graph Editor, for editing graphs with Minitab after you have copied
them to other applications
To show your colleagues the shipping data analysis results, you want to prepare a
report that includes various elements from your Minitab sessions.

Meet Minitab 7-1

Chapter 7 Using the ReportPad

Using the ReportPad
Throughout Meet Minitab, you performed several analyses and you want to share
the results with colleagues. Minitab’s Project Manager contains a folder, called the
ReportPad, in which you can create simple reports.
The ReportPad acts as a simple text editor (like Notepad), from which you can
quickly print or save in RTF (rich text) or HTML (Web) format. In ReportPad, you
can:
■ Store Minitab results and graphs in a single document
■ Add comments and headings
■ Rearrange your output
■ Change font sizes
■ Print entire output from an analysis
■ Create Web-ready reports

Add graph to You can add components to ReportPad by right-clicking on a graph or Session
ReportPad window output, then choosing Append to Report. In addition, text and graphs from
other applications can be copied and pasted into Minitab’s ReportPad.
Add the histogram with fits and groups you created in Chapter 2, Graphing Data, to
the ReportPad.
2 Choose File ➤ Open Project.

3 Navigate to C:Program FilesMinitab 15EnglishSample DataMeet Minitab.
(Adjust this if you chose to install Minitab to a location other than the default.)
4 Choose REPORTS.MPJ. Click Open.

5 Choose Window ➤ Histogram of Days.

7-2 Meet Minitab

Using the ReportPad Generating a Report

6 Right-click anywhere in the graph region, then choose Append Graph to Report.

Graph
region

7 Choose Window ➤ Project Manager.

8 Click the ReportPad folder. The histogram has been added to the ReportPad.

Add Session You also can add Session window output to the ReportPad. In Chapter 3, Analyzing
window Data, you displayed descriptive statistics for the three regional shipping centers. Add
output to the output for the three centers to the ReportPad.
ReportPad 1 Choose Window ➤ Session.

Meet Minitab 7-3

Chapter 7 Using the ReportPad

2 In the Session window, click in the output for Results for Center = Central. Then
right-click and choose Append Section to Report. The section of output Minitab
appends is delineated by the output titles (which are in bold text).

If you right-click in
this area and choose
Append Section to
Report, the results for
the Central shipping
center are added to
the ReportPad.

3 Repeat the steps above for the Results for Center = Eastern and Results for
Center = Western.
4 Choose Window ➤ Project Manager, then click the ReportPad folder. Click
to maximize the window to see more of your report.

7-4 Meet Minitab

Using the ReportPad Generating a Report

To simultaneously add multiple sections of Session window output to the ReportPad:
1 Highlight the Session window output.
2 Right-click in the Session window.
3 Choose Append Selected Lines to Report.

Edit in Customize the report by replacing the default title and adding a short comment to
ReportPad the graphical output.
1 Highlight the default title (Minitab Project Report). Type Report on Shipping
Data. Press e.
2 Below Report on Shipping Data, type Histogram of delivery time by center.

3 Highlight the text Histogram of delivery
time by center. Right-click the
highlighted text and choose Font.
4 From Font, choose Arial. From Font
style, choose Regular. From Size,
choose 11. From Color, choose
Maroon.
5 Click OK.

Meet Minitab 7-5

Chapter 7 Saving a Report

You now have a simple report that illustrates some of your results. If you save a
Minitab project, you can add additional comments and formatting at any time
because Minitab saves the ReportPad contents as part of the project.

All graphs and Session window output remain fully editable after they are appended to the
ReportPad. To edit a graph in the ReportPad, double-click the graph to activate Minitab’s
embedded graph editing tools.

Saving a Report
You can save the contents of the ReportPad (as well as Session window output and
worksheets) either as Rich Text Format (RTF) or Web Page (HTML) so you can open
them in other applications.

Save as Save your report as an RTF file to send electronically to colleagues or to open in
RTF file other applications.

1 In the Project Manager,
right-click the ReportPad
folder and choose Save
Report As.
ShippingReport.
3 In Save as type, choose
Rich Text Format
(∗.RTF). Click Save.

Copying a Report to a Word Processor
Word processors provide formatting options not available in ReportPad, such as
adding callouts to highlight important findings and laying graphs side by side.
Two tools in ReportPad, Move to Word Processor and Copy to Word Processor,
enable you to transfer the contents of the ReportPad to your word processor without
copying and pasting:
■ Move to Word Processor transfers the ReportPad contents to a word processor and
deletes the contents of the ReportPad.

7-6 Meet Minitab

Using Embedded Graph Editing Tools Generating a Report

■ Copy to Word Processor transfers the ReportPad contents into a word processor
while leaving the original contents in the ReportPad.

Copy report 1 In the Project Manager,
to a word right-click the ReportPad
processor folder.
2 Choose Copy to Word
Processor.
Shipping Report. You do
not need to choose a file
type, because Rich Text
Format (∗.RTF) is the
only option available.
4 Click Save.
Minitab automatically opens your default word processor and loads the RTF file
you just saved.
You can now edit your Minitab content in the word processor.

Using Embedded Graph Editing Tools
When you copy graphs to a word processor or other application, either with
copy/paste or with Copy to Word Processor, you can use the Embedded Graph
Editor to access all Minitab’s graph editing tools.

Edit Minitab To blend the graph into the report background and create a better visual effect, use
graph in a the Embedded Graph Editor tools to change the fill pattern, borders, and fill lines of
word the graph without returning to Minitab.
processor

Meet Minitab 7-7

Chapter 7 Using Embedded Graph Editing Tools

1 In the word processor, double-click the histogram. Notice that you now have
several toolbars with editing tools.

Minitab graph
editing tools

Graph
region

The graph is in edit mode; you can double-click a graph item to edit it as you
would in Minitab.
2 Double-click in the graph region of the histogram.

3 Under Fill Pattern, choose Custom.

4 From Type, choose .
5 Under Borders and Fill Lines, choose
Custom.
6 From Type, choose None. Click OK.

7 Click outside of the graph to end edit
mode.

7-8 Meet Minitab

What Next Generating a Report

For more information about Minitab’s Embedded Graph Editor, go to Embedded graph editor in
the Minitab Help index.

1 In Minitab, Choose File ➤ Save Project As.

2 In File name, type MY_REPORTS.MPJ.

3 Click Save.

What Next
In the next chapter, you learn to prepare a Minitab worksheet. You combine data
from multiple sources and place them in Minitab. Also, to prepare the data and
simplify the analysis, you edit the data and reorganize columns and rows.

Meet Minitab 7-9

Chapter 7 What Next

7-10 Meet Minitab

8
Preparing a
Worksheet
Objectives
■ Open a worksheet, page 8-2
■ Merge data from an Excel spreadsheet into a Minitab worksheet, page 8-3
■ Merge data from a text file into a worksheet, page 8-4
■ View worksheet information, page 8-5
■ Replace missing value, page 8-6
■ Stack columns of data, page 8-6
■ Code data, page 8-8
■ Add column names, page 8-8
■ Insert and name a new data column, page 8-8
■ Use the Calculator to assign a formula to a column, page 8-9

Overview
In many cases, you use worksheets that were already set up for you, as you have
throughout Meet Minitab. Sometimes, however, you must combine data from
different sources and place them in a Minitab worksheet before beginning an
analysis. Minitab can use data from:
■ Previously saved Minitab worksheet files
■ Text files

Meet Minitab 8-1

Chapter 8 Getting Data from Different Sources

■ Microsoft Excel documents
To place these data in Minitab, you can:
■ Type directly into Minitab
■ Copy and paste from other applications
■ Open from a variety of file types, including Excel or text files
After your data are in Minitab, you may need to edit cells and reorganize columns
and rows to get the data ready for analysis. Common manipulations include stacking,
subsetting, specifying column names, and editing data values.
This chapter shows how to place data from different sources into Minitab and how
SHIPPINGDATA.MTW, used in chapters 2 and 3, was prepared for analysis.

Getting Data from Different Sources
For the initial Meet Minitab analyses, the worksheet SHIPPINGDATA.MTW, which
contains data from three shipping centers, was already set up. However, the three
shipping centers originally stored the book order data in different ways:
■ Eastern—in a Minitab worksheet
■ Central—in a Microsoft Excel file
■ Western—in a text file
To analyze all the book order data, you must combine the data from all three
shipping centers into a single Minitab worksheet.

Open a Begin with data from the Eastern shipping center, which are stored in a Minitab
worksheet worksheet called EASTERN.MTW.
Minitab Project and click OK. Otherwise, just start Minitab.
2 Choose File ➤ Open Worksheet.


EASTERN.MTW. Click Open.

Minitab can open a variety of file types. To see the file types, click Files of type in the Open
Worksheet dialog box.

8-2 Meet Minitab

Getting Data from Different Sources Preparing a Worksheet

Merge data The Central shipping center stored data in an Excel spreadsheet.
from Excel To combine the Central book order data with the Eastern data, merge the data in the
Excel spreadsheet with the data in the current Minitab worksheet.
1 Choose File ➤ Open
Worksheet.
2 From Files of type, choose
Excel (∗.xls).
3 Choose CENTRAL.XLS.

4 Choose Merge.

5 Click Open.

Examine Choosing Merge adds the Excel data to your current worksheet. Minitab places the
worksheet data in cells to the right of the current worksheet data in columns C5–C8. If you had
not chosen Merge, Minitab would have placed the data in a separate worksheet.
Original data Merged data

Minitab also provides a Merge Worksheets menu command that provides additional options to
merge two or more open worksheets. For more information on Merge, go to Merge Worksheets
in the Minitab Help index.

Meet Minitab 8-3

Chapter 8 Getting Data from Different Sources

Merge data The Western shipping center stored data in a simple text file that you can open using
from a text Notepad or WordPad. To combine the Western book order data with the Eastern and
file Central data, merge the data in the text file with the data in the current Minitab
worksheet.
1 Choose File ➤ Open
Worksheet.
2 From Files of type, choose
Text (∗.txt).
3 Choose WESTERN.TXT.

4 Choose Merge.

5 Click Open.

Examine Choosing Merge adds the data from the text file to the current worksheet. Minitab
worksheet places the data in cells to the right of the current worksheet data in columns
C9–C12. If you had not chosen Merge, Minitab would have placed the data in a
separate worksheet,
Original data Merged data

Before opening a text file in Minitab, you can see what the data will look like in the
worksheet by choosing Preview in the Open Worksheet dialog box.

Not all text files are not in a format that can be easily imported. Minitab provides several tools
for interpreting text file formats. For more information, go to Text files in the Minitab Help
index.

8-4 Meet Minitab

Preparing the Worksheet for Analysis Preparing a Worksheet

Preparing the Worksheet for Analysis
With the data in a single worksheet, you are almost ready to begin the analysis.
However, you must modify the worksheet by:
■ Replacing a missing value
■ Stacking data
■ Replacing data
■ Adding column names
■ Adding a new column
■ Creating a column of calculated values

For a complete list of data manipulations available in Minitab, go to Data menu in the Minitab
Help index.

Show To view a summary of your worksheet columns, use on the Project Manager
worksheet toolbar. This button will open the Project Manager’s Columns subfolder in the
information Worksheets folder. This summary is especially useful in identifying unequal column
lengths or columns that contain missing values.
1 Click on the Project Manager toolbar or press c+a+I.

The Columns subfolder contains details on the current worksheet. Within each
center, the count should be the same for all columns. Notice that the counts for the
Eastern data (C1–C4) are 109 for all columns, and the counts for the Central data
(C5–C8) are 105 for all columns. However, for the Western center, C10 has a count
of 104 unlike the other columns, which have a count of 105.
2 Click again to return to your previous view.

For more information on the Project Manager toolbar, go to Project Manager Toolbar in the
Minitab Help index.

Meet Minitab 8-5

Chapter 8 Preparing the Worksheet for Analysis

Examine Examine C10 to see what
worksheet value is missing. Notice
that the last row of the
column is empty. When
you copy and paste data
from a text or Excel file
into a worksheet, Minitab
interprets empty numeric
or data/time cells as
missing values, which
appear as asterisks (∗) by
default. However, if the
last row of a column of
data in a text file contains Empty cell
an empty cell, Minitab
leaves the cell empty when you paste the data into the worksheet, as you can see in
column C10.

Replace For Minitab to perform the correct analysis, you must type the missing value symbol
missing value in the empty cell of the last row.
1 Click the Data window to make it active,
then choose Editor ➤ Go To….
2 In Enter column number or name, type
C10.
3 In Enter row number, type 105. Click OK.

4 In row 105 of column C10, type an asterisk (∗). Press e.

Stack data Now that the data are assembled in a single Minitab worksheet, notice the similar
variables for each shipping center. Some Minitab commands allow data from
different groups to remain unstacked in separate columns. Others require groups to
be stacked, with a column of group levels. However, all analyses can be performed
with stacked data.
To analyze the data, you need to rearrange these variables into stacked columns. You
can move data within the worksheet by copying and pasting or use Data menu items
to rearrange blocks of data.

8-6 Meet Minitab


1 Choose Data ➤ Stack ➤ Blocks of
Columns.
2 From the list of variables, highlight
Order, Arrival, Status, and Distance.
Click Select to move the variables
into the first row of Stack two or
more blocks of columns on top of
each other. Move to the next row.
3 Repeat step 2 for the order, arrival,
status, and distance columns for the
Central and Western shipping
centers.
4 Under Store stacked data in, choose
New worksheet. In Name, type
MY_SHIPPINGDATA.
5 Check Use variable names in subscript column.

6 Click OK.

Examine The variables for the shipping centers are all in the same columns, with Order
worksheet (Eastern center), Order_1 (Central center), and Order_2 (Western center) acting as
labels or subscripts to indicate from which shipping center the data originated.
Subscripts column

Data entry arrow

Meet Minitab 8-7


Code data The labels in the Subscripts column do not adequately indicate which center the
data are from. Code the labels with more meaningful names.
1 Choose Data ➤ Code ➤ Text to Text.

2 In Code data from columns, enter
Subscripts.
3 In Store coded data in columns,
enter Subscripts.
4 In the first row under Original values,
type Order. In the first row under New,
type Eastern.
5 In the second row under Original
values, type Order_1. In the second
row under New, type Central.
6 In the third row under Original values, type Order_2. In the third row under
New, type Western.
7 Click OK.
The shipping center labels in the subscripts column are now Eastern, Central, and
Western.

Add column Add column names to the stacked data.
names 1 Click the data entry arrow in the upper left corner of the Data window to make it
point to the right.
2 Click in the name cell of C1. To replace the label Subscripts, type Center, then
press e.
3 Repeat for the rest of the names:
■ In C2, type Order.
■ In C3, type Arrival.
■ In C4, type Status.
■ In C5, type Distance.

Calculate Before saving your new worksheet and performing analyses, you need to calculate
difference the number of days that elapsed between order and delivery dates. You can use
values Minitab’s Calculator to assign a formula to a column that calculates these values. If
you change or add data, the calculated values will update automatically.

Insert and name a column
Insert a column named Days between Arrival and Status.

8-8 Meet Minitab


1 Click any cell in C4 to make it active.
2 Right-click and choose Insert Columns.

3 Click in the name cell of C4. Type Days, then press e.

Use Calculator to assign a formula to a column
Use Minitab’s Calculator to perform basic arithmetic or mathematical functions.
Minitab stores the results in a column or constant. You can assign the formula to the
column so the calculated values update automatically if the data change.
Compute the delivery time and store the values in the Days column.
1 Choose Calc ➤ Calculator.
2 In Store result in variable, enter Days.

3 In Expression, enter Arrival – Order.

4 Check Assign as a formula.

5 Click OK.

For more information on formulas in columns, go to Formulas in the Minitab Help index. For
more information on Minitab’s Calculator and the available operations and functions, go to
Calculator in the Minitab Help index.

You can also add a formula to a column by selecting the column and choosing Editor ➤
Formulas ➤ Assign Formula To Column.

Examine The Days column contains the newly calculated values that represent delivery time.
worksheet These values are expressed in numbers of days. When you assign a formula to a
column, an indicator appears in the upper right corner of the column heading on the
worksheet. This indicator tells you whether the formula is properly defined and

Meet Minitab 8-9


whether the data need to be updated by re-calculating the values. The green plus
sign indicates the data are up-to-date.
Status indicator

Place your cursor over the status indicator to view the formula assigned to the column.
Double-click the status indicator to edit the formula.

Update Suppose you learn that the arrival date for a shipment in the Central shipping center
worksheet is incorrect. You can correct the date in the worksheet and Minitab will
automatically update the Days column.
Update the arrival date in row 127 from 3/6/2006 to 3/7/2006.
1 In row 127 of the worksheet, edit the day in the date in the Arrival column by
double-clicking the cell to put it in edit mode. Change 3/6/2006 to 3/7/2006.
2 Press e.

Examine Minitab automatically updates the value in the Days column from 2.98125 to
worksheet 3.98125.
Original worksheet Updated worksheet

You can also choose to update the calculated values manually. First, choose Editor ➤ Formulas
➤ Calculate All Formulas Automatically to uncheck this option. When the status indicator is
yellow, indicating formulas are out of date, you can choose Editor ➤ Formulas ➤ Calculate All
Formulas Now to update all formulas in the project. This command is active only if formulas
are out of date and Calculate All Formulas Automatically is not checked in the Editor menu.

8-10 Meet Minitab

What Next Preparing a Worksheet

Save Save all of your work in a Minitab worksheet.
worksheet 1 Choose File ➤ Save
Current Worksheet As.
MY_SHIPPINGDATA.
3 From Save as type, choose
Minitab.
4 Click Save.

What Next
The shipping center data from several sources are in Minitab and are set up properly
for analysis. In the next chapter, you adjust the Minitab defaults to expedite future
shipping data analyses.

Meet Minitab 8-11

Chapter 8 What Next

8-12 Meet Minitab

9
Customizing Minitab
Objectives
■ Change default options for graphs, page 9-2
■ Create a new toolbar, page 9-3
■ Add commands to a custom toolbar, page 9-4
■ Assign shortcut keys for a menu command, page 9-5
■ Restore your Minitab default settings using Manage Profiles, page 9-7

Overview
Minitab has several tools for changing default options or creating custom tools such
as individualized toolbars or keyboard shortcuts.
Use Tools ➤ Options to change defaults for:
■ Program settings (memory usage, initial directory, window layout, and dialog box)
■ Data and Session windows
■ Statistical commands
■ Graphs
Use Tools ➤ Customize to:
■ Assign a shortcut key to a menu item
■ Set options for how Minitab displays toolbars
■ Create custom icons for menu items or toolbar buttons
Now that you have completed your first book shipment analysis and generated a
report, you decide to use Tools ➤ Options and Tools ➤ Customize to tailor the
Minitab environment to make future analyses quicker and easier.

Meet Minitab 9-1

Chapter 9 Setting Options

Setting Options
You can change many options during a Minitab session, such as changing graph
display settings or enabling the session command prompt. However, when you exit
Minitab, these options revert back to the defaults for future Minitab sessions.
If you want a setting to be your default for all Minitab sessions, use Tools ➤ Options.
Settings that you change remain active until you change them again.
Because you are planning to do similar analyses on the shipping data during the next
few months, you want to change your default preferences.

If you change options, you can restore Minitab’s default settings at any time. For more
information, see Restoring Minitab’s Default Settings on page 9-6.

Add Because you will create the same graphs with similar data in the future, you need a
automatic way to distinguish the results of each analysis. You decide to add an automatic
footnote footnote to your graphs to include the worksheet name, last modification date, and
some information on the data used.
Minitab Project and click OK. Otherwise, just start Minitab.
2 Choose File ➤ Open Worksheet.


SHIPPINGDATA.MTW. Click Open.
5 Choose Tools ➤
Options ➤ Graphics
➤ Annotation ➤ My
Footnote.
6 Under Information to
include in my
footnote, check
Worksheet name and
Date the graph was
last modified.
7 In Custom text, type
Shipping center
efficiency. Click OK.
With these settings, every time you create a graph, Minitab adds the automatic
footnote.

9-2 Meet Minitab

Creating a Custom Toolbar Customizing Minitab

Create a To see an example of the automatic footnote, create a histogram.
histogram to 1 Choose Graph ➤ Histogram.
view footnote
2 Choose With Fit and Groups, then click OK.


4 In Categorical variables for grouping (0-3), enter Center.

5 Click OK.

Automatic
footnote

Creating a Custom Toolbar
In addition to saving time by changing the default options settings for individual
commands, you also can save time in future Minitab sessions by using Tools ➤
Customize.
Use Customize to create new menus and toolbars that contain only the commands
you choose to add, and to assign keyboard shortcuts to commands that you access
frequently.

Create a During some analyses, you return to the same menu items many times. Combining
toolbar these items on a single custom toolbar can simplify future analysis.
Create a custom toolbar that includes some of the commands used in the shipping
center analysis.

Meet Minitab 9-3

Chapter 9 Creating a Custom Toolbar

1 Choose Tools ➤ Customize.
2 Click the Toolbars tab.

3 Click New.

4 In Toolbar Name, type Shipping Data.
Click OK.

A new blank toolbar labeled
Shipping Data appears under
Toolbars, and the new toolbar Blank
name appears in the toolbar toolbar
list.

New
toolbar
name

Add Add commands to the blank toolbar. In the shipping center analysis, you used Graph
commands to ➤ Histogram and Graph ➤ Scatterplot, so you want to add these commands to a
the toolbar toolbar.
1 Click and drag the blank toolbar off
the Customize dialog box.

9-4 Meet Minitab

Assigning Shortcut Keys Customizing Minitab

2 Click the Commands tab.
3 Under Categories, choose Graph.

4 Under Commands, choose Histogram.
Under Categories is a list of all Minitab
menus. When you select one of these
menus, a list of corresponding menu
items appears under Commands.
5 Click and drag Histogram to the new
toolbar.
6 Under Commands, choose
Scatterplot.
7 Click and drag Scatterplot to the new
toolbar. Histogram Scatterplot
8 Click Close.
You can add any number of commands until you have a custom toolbar that includes
all your frequently used commands. To access the new toolbar items quickly from the
keyboard, assign keyboard shortcuts.

You also can create a custom menu. For more information on Tools ➤ Customize, go to
Customize in the Minitab Help index.

Assigning Shortcut Keys
Minitab already contains many shortcut keys for frequently used functions such as
Copy (c+C), Paste (c+V), and Save As (c+S). Shortcut keys enable you
to quickly bypass the menus and open dialog boxes.
To assign shortcut keys, use Tools ➤ Customize ➤ Keyboard.

Assign a Because you often create histograms for your shipping data analysis, you want to
shortcut key assign a shortcut key for this command.

Meet Minitab 9-5

Chapter 9 Restoring Minitab’s Default Settings

1 Choose Tools ➤ Customize.
2 Click the Keyboard tab.

3 From Category, choose Graph.
Categories provides a list of all Minitab
menus. When you select one of these
menus, a list of corresponding menu
items appears under Commands.
4 Under Commands, choose Histogram.

5 Click in Press New Shortcut Key.

6 Press c+s+H.
Under Press New Shortcut Key, the
Assigned to text displays the current
status of the selected key combination.
In this case, the text reads
[Unassigned]. Keys or key
combinations that are already assigned
to a command are indicated here. Any
existing combination that conflicts with
your choice must be removed from its
command before it can be assigned to a
new command.
7 Click Assign. The new shortcut key appears under Current Keys.

8 Click Close.
You can now access the Histogram gallery by pressing c+s+H.

For a list of Minitab’s default shortcut keys, see the back cover of this book, choose Help ➤
Keyboard Map, or go to Shortcut keys in the Minitab Help index.

Restoring Minitab’s Default Settings
Any settings you change using Tools ➤ Options and Tools ➤ Customize, as well as
any changes you have made to date/time data settings or value order settings, are
stored in a profile. You can activate and deactivate this profile (and remove all these
settings) using Tools ➤ Manage Profiles. You also can export and share this profile
with other users who are doing a similar analysis.
All settings that you have adjusted while working through Meet Minitab are already
stored in your active profile. Deactivate the current profile to restore Minitab’s

9-6 Meet Minitab

What Next Customizing Minitab

default settings and change the name of the profile to use for future shipping center
analyses.

For more information on managing profiles, go to Manage Profiles in the Minitab Help index.

Restore 1 Choose Tools ➤ Manage Profiles.
defaults 2 Click to move MyProfile from
Active profiles to Available profiles.
3 Double-click MyProfile in Available
profiles, then type
ShippingCenterAnalysis.
4 Click OK.
The default settings are now restored.
Minitab creates a new active profile to
store any changes you make after this
point.
To activate the settings you adjusted during your Meet Minitab sessions, move the
current active profile to Available profiles, move ShippingCenterAnalysis to Active
profiles, then click OK.

You also can reset Minitab’s defaults by double-clicking the shortcut named
RestoreMinitabDefaults English located in the English folder under the main Minitab 15 folder
installed on your hard drive. Export any profiles you want to keep before running this program.


2 In File name, type My_CUSTOMIZE.MPJ.

3 Click Save.

What Next
Your analysis is complete, but what do you do if you have questions or want more
information about a topic? The next chapter suggests ways to get answers to your
Minitab questions and provides details about how to use Minitab Help and
StatGuide.

Meet Minitab 9-7

Chapter 9 What Next

9-8 Meet Minitab

10
Getting Help
Objectives
■ Get answers and find information, page 10-2
■ Use Minitab Help, page 10-6
■ Use Minitab StatGuide, page 10-8
■ Use Session Command Help, page 10-10

Overview
If you find yourself with unanswered questions or discover that you need more details
about a topic, Minitab can help.
From assistance with completing a dialog box, to guidance for statistical
interpretations, to instructions for using session commands in your analysis,
Minitab’s easy-to-use online documentation and Internet resources can help you
find the answers you need.
This chapter discusses using Help, StatGuide, and Session Command Help to
explore Minitab and suggests ways to find answers to your Minitab questions.

Meet Minitab 10-1

Chapter 10 Getting Answers and Information

Getting Answers and Information
Meet Minitab focused on only a few of Minitab’s commonly used features. For
details about other commands, functions, and statistical concepts, explore Minitab’s
documentation and online resources.

Resource Description Access
Help Documentation on Minitab ■ Click Help in any dialog box.
features and concepts. ■ Click on the toolbar.
Includes information on:
■ Press 1 at any time.
■ Menus and dialog boxes
■ Choose Help ➤ Help.
■ Methods and formulas
See Help on page 10-6 for more
■ Session commands information.
■ Macros

Using General information on Choose Help ➤ Help, then click
Help navigating Minitab Help. Using Help under Basics.

StatGuide Statistical guidance that ■ Right-click in the Session window
focuses on interpretation of or a Graph window, then choose
sample results. StatGuide.
■ Right-click in the Session or Graph
folder of the Project Manager,
then choose StatGuide.
■ Click on the toolbar.
■ Press s+1.
■ Choose Help ➤ StatGuide.
See StatGuide on page 10-8 for more
information.

StatGuide General information on using Choose Help ➤ StatGuide, and go to
Overview Minitab StatGuide. StatGuide Overview on the Contents
page.

Minitab This comprehensive glossary Choose Help ➤ Glossary.
Statistical covers all areas of Minitab
Glossary statistics. Each definition
contains practical,
easy-to-understand
information.

Tutorials Step-by-step tutorials that Choose Help ➤ Tutorials.
introduce the Minitab
environment and provide an
overview of Minitab.

10-2 Meet Minitab

Getting Answers and Information Getting Help

Resource Description Access
Session Documentation on Minitab ■ Choose Help ➤ Help, then click
Command session commands, which you Session Commands under
Help can use interactively or to References.
create a macro. ■ At the MTB > prompt in the
Session window, type HELP.
■ To access information on a specific
session command, at the MTB >
prompt in the Session window,
type HELP followed by a
command.
See Session Command Help on page
10-10 for more information.

Macros Support for writing and Choose Help ➤ Help, then click
Help executing Minitab macros, Macros under References.
which commands stored in
text files.

Meet A PDF version of Meet Minitab. From the Start menu, choose
Minitab Programs ➤ Minitab Solutions ➤
PDF Minitab Reference ➤ Meet Minitab
15 English.

What’s Information about new From the Start menu, choose
New features in Release 15 of Programs ➤ Minitab Solutions ➤
Minitab. Minitab Reference ➤ What’s New in
Minitab 15 English.

ReadMe Late-breaking information on From the Start menu, choose
this release of Minitab, Programs ➤ Minitab Solutions ➤
including details on changes Minitab Reference ➤ ReadMe
to the software or Minitab 15 English.
documentation.

Technical Communicate with our Go to customer.minitab.com to
support highly-skilled technical contact technical support. You can
support specialists; get also call technical support at
answers to common technical 1-814-231-2682. For online
questions; download macros; information, visit www.minitab.com/
and download free software support.
updates of Minitab.

Web site Learn about our products, Go to www.minitab.com.
training, resources, and more.

Please send comments about Minitab’s online and print documentation to
doc_comments@minitab.com.

Meet Minitab 10-3

Chapter 10 Minitab Help Overview

Minitab Help Overview
The components of Minitab’s online documentation—as well as other related
information—are summarized on a single page. From this page, you can proceed to
detailed assistance, instructions, and support topics. This overview organizes links to
Help topics according to Minitab’s menu structure.

Finding To display the overview page:
information ■ Choose Help ➤ Help.
■ Press 1.
■ Click on the Standard toolbar.
The links provided under the headings shown below make finding information quick
and easy:
■ Basics—how to use Help, guidelines and tutorials for getting started with
Minitab, and descriptions of Minitab windows
■ References—examples of commands, glossary of terms and abbreviations,
instructions for using session commands and macros, and the methods and
formulas used by Minitab
■ Service and Support—how to register Minitab, ways to communicate with
Technical Support, and descriptions of Minitab’s documentation, Internet
resources, and other products

10-4 Meet Minitab

Minitab Help Overview Getting Help

Use these links to access basic
facts, reference material, and
service and support
information.

Click a menu link
to view Help topics
for all commands
on that menu.

For more information about the Minitab Help environment, choose Help ➤ Help, then click
Using Help under Basics.

Meet Minitab 10-5

Chapter 10 Help

Help
Minitab Help is a comprehensive, convenient source of information that includes
menu and dialog box instructions, overviews, examples, guidance for setting up your
data, and methods and formulas. You can explore Minitab’s statistical features and
discover new methods for routine tasks. Help also provides guidance on using
Minitab’s statistics, quality control, reliability and survival analysis, and design of
experiments tools.
Additionally, in Help, you can learn about the Minitab environment; using session
commands; writing macros and Execs; Minitab’s input, output, and data
manipulation capabilities; and working with data and graphs.

Finding Most Help topics appear in a window that consists of three areas:
information ■ Toolbar—contains buttons for hiding and showing the navigation pane, returning
to a previous topic, printing one or more topics, and tools for working within the
Help environment
■ Navigation pane—provides three tabs for exploring the table of contents and
index, and searching for words or phrases
■ Topic pane—displays the selected Help topic

Toolbar Topic pane

Navigation pane
■ Contents—Click
any folder or topic
for more
information.
■ Index—Search the
index for a term, or
scroll through the
list.
■ Search—Search the
Help for specific
words or phrase.

10-6 Meet Minitab

Help Getting Help

Command- You can access command-specific assistance from within Minitab dialog boxes by
specific clicking Help in the dialog box or pressing 1. Help suggests ways to complete the
information dialog box and encourages a thorough understanding of the task by supplying links to
related topics and associated commands.
Most main dialog box topics contain the following links:
■ Overview of subject area, including information such as why a certain method is
useful and how to choose which method to use
■ How to instructions on completing the dialog box
■ Example of using the command, including output and interpretation
■ Data requirements that explain how you should arrange the data in the worksheet
and what data types you can analyze with that command
■ See also links to related topics and commands, including methods and formulas

Where you can find
this command in the
Minitab menu

Explanation of
command

Explanation of each
dialog box item

Links to subdialog box
information

Meet Minitab 10-7

Chapter 10 StatGuide

StatGuide
The Minitab StatGuide explains how to interpret statistical tables and graphs in a
practical, easy-to-understand way. Unlike Help, which provides guidance for using
Minitab, the StatGuide focuses on the interpretation of Minitab results, using
preselected examples to explain the output.
StatGuide topics include information such as:
■ Real-life data analysis situations
■ Brief summaries of statistical capabilities
■ Emphasis on important components of the output

Finding After you issue a command, you can learn more about the output by examining
information StatGuide’s sample output and interpretation. The StatGuide provides a direct path
to command-specific guidance:
■ Right-click in the Session window output or on a graph, then choose StatGuide.
■ Click in the Session window output or on a graph, then click on the toolbar or
press s+1.
■ In the Project Manager, click the name of the Session window output or graph,
then click on the toolbar or press s+1. You can also right-click the
Session window or graph output name, then choose StatGuide.
You can also access the StatGuide by choosing Help ➤ StatGuide. To locate specific
words or phrases, choose Help ➤ StatGuide, then click the Find tab.

The Minitab StatGuide navigation pane contains:
■ Contents—Explore the StatGuide. The topics
appear in the order of Minitab’s Stat menu.
Double-click a book to access the menu items.
■ Index—Search the index for a term, or scroll
through the list of keywords.
■ Find—Search the contents of the StatGuide to
find all occurrences of a specific word or
phrase.

10-8 Meet Minitab

StatGuide Getting Help

Command- The StatGuide is arranged in two windows: the main content window and
specific MiniGuide. The MiniGuide contains sample Session window output or graphs and,
information often, a list of related topics to assist you in navigating the StatGuide. The main
content window contains the interpretation of results and links to in-depth content.

Examine sample output and Display a list of all StatGuide
navigate related topics. topics for a command.

Browse all
StatGuide
topics for a
command.

Read about the
analysis and the
interpretation of
results.

View in-depth content for
more information about
the analysis.

For more information about using the StatGuide, go to StatGuide Overview on the StatGuide
Contents page.

Meet Minitab 10-9

Chapter 10 Session Command Help

Session Command Help
In addition to using Minitab’s menus and dialog boxes, you can also conduct
analyses, generate graphs, and manipulate data using session commands. Each
Minitab menu command has a corresponding session command, which consists of a
main command and, usually, one or more subcommands. Session commands are
especially useful because they can be used to create macros, which are session
commands stored in a text file. Macros can help automate repeated tasks. See Help
➤ Help, then click Macros under References for more information about how to
write Execs and macros.

Finding To access Minitab Session Command Help, choose Help ➤ Help, then click
information Session Commands under References.
The Session Command Help environment is similar to Minitab Help. The toolbar,
navigation pane, and topic pane provide the necessary tools for learning and using
session commands.

View these topics for
instructions on how to
use session commands
and macros.

View these topics for
lists of commands and
macros.

To learn more about session commands, go to Chapter 6, Using Session Commands.

10-10 Meet Minitab

What Next Getting Help

Command- To access information for a specific session command, at the MTB > command
specific prompt, type HELP followed by the command name. Press e.
information

Most session command topics contain links to:
■ Example of using the command, including output.
■ See also links to related topics.
Location of the
corresponding command
in the Minitab menu.

Command syntax. Click a
subcommand to access
more detailed information.

Explanation of the command.

Detailed information
about subcommands.

What Next
In the next chapter, learn more about the Minitab environment and the types and
forms of data that Minitab uses. The chapter also includes a list of quick-reference
tables of actions and analyses available in Minitab.

Meet Minitab 10-11

Chapter 10 What Next

10-12 Meet Minitab

11
Reference
Objectives
In this chapter, you find information about:
■ Minitab environment, page 11-2
■ Minitab data, page 11-5
■ Quick reference, page 11-6

Overview
Previous Meet Minitab chapters introduced you to Minitab and some of its features
and commands. This chapter provides in-depth information about the Minitab
environment and data, as well as quick-reference tables to help you to perform the
actions and statistics you need in your own analysis.

Meet Minitab 11-1

Chapter 11 The Minitab Environment

The Minitab Environment
As you perform your data analysis, you will work with many different Minitab
windows and tools. Here is a brief overview of the Minitab environment:
Toolbars

Menu bar

Session
window Project
Manager

Data
windows

Status bar

Graph window Shortcut menu

Minitab ■ The Session window displays text output such as tables of statistics. You can
windows display columns, constants, and matrices in this window by choosing Data ➤
Display Data.
■ Data windows contain columns and rows of cells in which you enter, edit, and
view the data for each worksheet.
■ Graph windows display graphs. You can have up to 200 Graph windows open at a
time.

11-2 Meet Minitab

The Minitab Environment Reference

Project
Manager

Folders

Contents
of the
open
folder

The Project Manager contains folders that allow you to navigate, view, and
manipulate various parts of your project. By right-clicking either the folders or the
folder contents, you can access a variety of menus that allow you to manage Session
window output, graphs, worksheets, command language, and related project areas.

This folder… Contains… Use to…
Session A list of: Manage Session window output. For
■ All Session window example:
output by command ■ Jump to Session window output
■ All graphs ■ Copy, delete, rename, or print
Session window output or graphs
■ Append Session window output or
graphs to the ReportPad

History All commands you have ■ Repeat complex command
used sequences
■ Use commands to create Execs and
macros

Graph A list of all graphs in Manage your graphs. For example:
your project ■ Arrange, rename, tile, or remove
your graphs
■ Append graphs to the ReportPad

Meet Minitab 11-3

Chapter 11 The Minitab Environment

This folder… Contains… Use to…
ReportPad A basic word processing ■ Create, arrange, or edit reports of
tool project work
■ Move ReportPad contents to a
more powerful word processing
program for further editing and
layout

Related A list of program files, Quickly access project-related,
Documents documents, or Internet non-Minitab files for easy reference
URLs that are related to
your Minitab project

Worksheets The Columns, View summaries of worksheet
Constants, and information, including:
Matrices, and Design ■ Column counts, missing values,
folders for each open and column descriptions
worksheet
■ Constants
■ Matrices
■ Design summary

Menus and Minitab provides:
tools ■ A menu bar for choosing commands.
■ A Standard toolbar with buttons for commonly used functions− buttons
the
change depending on which Minitab window is active.
■ A Project Manager toolbar with shortcuts to Project Manager folders.
■ A Worksheet toolbar with buttons to insert or clear cells, rows, and columns, to
move columns, and to move to the next or previous brushed row.
■ A status bar which displays explanatory text when you are pointing to a menu
item or toolbar button.
■ Shortcut menus which appear when you right-click in any Minitab window or
any folder in the Project Manager. The menu displays the most commonly-used
functions for that window or folder.
■ Graph editing toolbars (Graph Editing, Graph Annotation Tools, and 3D
Graph Tools) with buttons for adding and changing graph elements.
■ DOE toolbars (Factorial Designs, Response Surface Designs, Mixture Designs,
Taguchi Designs, and OptiPlot) with buttons for DOE functions.

Graph editing and DOE toolbars are not visible at start-up, but can be opened by choosing
Tools ➤ Toolbars and clicking the toolbars you want to show.

11-4 Meet Minitab

Minitab Data Reference

Minitab Data
In Minitab, data are contained in a worksheet. The number of worksheets a project
can have is limited only by your computer’s memory.

Data types A worksheet can contain three types of data:
■ Numeric data −Numbers.
■ Text data −Letters, numbers, spaces, and special characters. For example, Test #4
or North America.
■ Date/time data −Dates (such as Jan-1-2007, 1-Jan-2007, 3/17/07, or 17/03/07),
times (such as 08:25:22 AM), or both (such as 3/17/07 08:25:22 AM or 17/03/07
08:25:22 AM). Minitab internally stores dates and times as numbers, but displays
them in the format you choose.

Forms of data Data can be in one of three forms:

Form Contains… Referred to by... Number available
Column Numeric, text, or ■ C + number, as in C1 Limited only by
date/time data or C22 computer memory,
■ Column name, such up to a maximum of
as Center or Arrival 4000

Stored A single number or ■ K + number, as in 1000
Constant text string (for K1or K93
example, New York) ■ Column name, such
as First or Counter

Matrix A rectangular block ■ M + number, as in 100
of cells containing M1 or M44
numbers ■ Column name, such
as Inverse

The Project Manager Worksheets folder contains a list of the columns, constants,
and matrices in each project.

Meet Minitab 11-5

Chapter 11 Quick Reference

Sample Minitab comes with a number of sample data sets. The data
data sets sets used in Meet Minitab are located in the Meet Minitab
folder. You can easily access the sample data sets by clicking
Look in Minitab Sample Data folder near the bottom of
the Open Worksheet dialog box. For complete descriptions
of most of these data sets, go to Sample data sets in the
Minitab Help index.

Quick Reference
To learn where to find commands in Minitab’s menus, use the quick-reference tables
below. Choose a table and scan the first column for the information you need. The
second column in each table tells you where to go in Minitab to perform that action.
To find out more about a command, search for the command name in the Minitab
Help index.
The quick-reference tables are:
■ Projects, page 11-6
■ Worksheets, page 11-7
■ Toolbars and menus, page 11-8
■ Columns, rows, and cells, page 11-9
■ Data manipulation, page 11-10
■ Data import and export, page 11-12
■ Statistics, page 11-12
■ Graphs, page 11-20
■ Graph windows, page 11-21

Projects To... Choose...
Append Session window output to Window ➤ Project Manager ➤ Session folder,
ReportPad then ReportPad folder

Close current project File ➤ New ➤ Minitab Project
File ➤ Open Project
File ➤ Exit

11-6 Meet Minitab

Quick Reference Reference

To... Choose...
Copy, delete, rename, or print Window ➤ Project Manager ➤ Session folder
Session window output or graphs

Create macros using commands Window ➤ Project Manager ➤ History folder

Create new project File ➤ New ➤ Minitab Project

Edit and execute commands used Edit ➤ Command Line Editor
previously

Edit last dialog box Edit ➤ Edit Last Dialog

Enter or view project description File ➤ Project Description
(creator, date, and comments)

Exit Minitab File ➤ Exit

Generate, arrange, and edit reports Window ➤ Project Manager ➤ ReportPad
in ReportPad folder

Jump to specific Session window Window ➤ Project Manager ➤ Session folder
output

Manage graphs (save, copy, print, Window ➤ Project Manager ➤ Graphs folder
tile, rename, or append to
ReportPad)

Open existing project File ➤ Open Project

Open project-related, non-Minitab Window ➤ Project Manager ➤ Related
files, documents, and Internet URLs Documents folder

Password protect project file File ➤ Save Project As ➤ Security

Repeat complex command Window ➤ Project Manager ➤ History folder
sequences

Run Exec file (type of Minitab macro) File ➤ Other Files ➤ Run an Exec

Save project File ➤ Save Project
File ➤ Save Project As

View automatically updated Window ➤ Project Manager ➤ Worksheet
summary of current worksheet folder(s)

Worksheets To... Choose...
Change data-entry direction Editor ➤ Worksheet ➤ Change Entry Direction
(horizontal or vertical)

Close worksheet File ➤ Close Worksheet

Meet Minitab 11-7


To... Choose...
Copy worksheet to new worksheet or Data ➤ Copy ➤ Worksheet to Worksheet
append to existing worksheet

Edit worksheet links (manage links, Edit ➤ Worksheet Links
get external data, and execute
external commands)

Enter or view worksheet description Editor ➤ Worksheet ➤ Description
(creator, dates, and comments)

Merge worksheets Data ➤ Merge Worksheets

Open existing worksheet File ➤ Open Worksheet

Open new worksheet File ➤ New ➤ Minitab Worksheet

Print worksheet File ➤ Print Worksheet

Save current worksheet with new File ➤ Save Current Worksheet As
name

Save current worksheet File ➤ Save Current Worksheet

Split worksheet Data ➤ Split Worksheet

Subset all or part of worksheet and Data ➤ Subset Worksheet
copy to a new worksheet

Toolbars To... Choose...
and menus Assign keyboard shortcut to Tools ➤ Customize, then click Keyboard tab
command

Create or delete toolbar Tools ➤ Customize, then click Toolbars tab

Customize menu, submenu, menu Tools ➤ Customize, then click Commands,
bar, or toolbar Toolbars, or Menu tab

Display or hide toolbar Tools ➤ Customize, then click Toolbars tab

Display toolbar buttons with large Tools ➤ Customize, then click Options tab
icons

Hide or show status bar Tools ➤ Status Bar

Hide or show toolbar Tools ➤ Toolbars

Manage user-specific settings Tools ➤ Manage Profiles

Password protect project file Tools ➤ File Security

11-8 Meet Minitab


To... Choose...
Reset Minitab menus Tools ➤ Customize, then click Menu tab

Set options in Minitab to change Tools ➤ Options
defaults to your preferences

Show or hide screen tips or shortcut Tools ➤ Customize, then click Options tab
keys

Columns, To... Choose...
rows, and Assign formula to a column, calculate Editor ➤ Formulas ➤
cells formulas, remove formulas Assign Formulas to Columns
Remove Formulas From Selected Columns
Calculate All Formulas Now
Calculate All Formulas Automatically

Clear contents of selected cells; leave Edit ➤ Clear Cells
empty cells or missing-value symbols
in their place

Combine two or more text columns Data ➤ Concatenate
side by side in new column

Copy columns, constants, and Data ➤ Copy
matrices

Copy contents of selected cells to Edit ➤ Copy Cells
clipboard

Cut cells from worksheet and copy to Edit ➤ Cut Cells
clipboard

Delete cells from worksheet, moving Edit ➤ Delete Cells
up other rows in column

Delete rows from the worksheet Data ➤ Delete Rows

Enter or view column description Editor ➤ Column ➤ Description

Erase columns, constants, and Data ➤ Erase Variables
matrices

Format columns (data type, width, Editor ➤ Format Column
standard width for all columns in Editor ➤ Column
worksheet, hide or unhide, and
define value order)

Go to designated cell Editor ➤ Go To…

Meet Minitab 11-9


To... Choose...
Go to next column, active cell, or Editor ➤ Go To ➤ choose item
next/previous brushed row

Insert empty cell above selected cell Editor ➤ Insert Cell

Insert empty column to left of Editor ➤ Insert Column
selected column

Insert empty row above selected row Editor ➤ Insert Row

Move selected columns to left of Editor ➤ Move Columns
designated column, or after last
column in use

Paste contents of clipboard into Edit ➤ Paste Cells
selected cells

Select all cells in worksheet Edit ➤ Select All Cells

Sort columns and store them in Data ➤ Sort
original columns, other columns you
specify, or new worksheet

Stack rows into columns Data ➤ Stack ➤ Rows

Stack single columns or blocks of Data ➤ Stack ➤ Columns
columns Data ➤ Stack ➤ Blocks of Columns

Transpose columns into rows and Data ➤ Transpose Columns
store in new worksheet or at end of
current worksheet

Undo/redo actions Edit ➤ Undo
Edit ➤ Redo

Unstack columns Data ➤ Unstack Columns

Data To... Choose...
manipulation Calculate column statistics, such as Calc ➤ Column Statistics
mean, median, or standard deviation

Calculate probability densities (pdf), Calc ➤ Probability Distributions
cumulative probabilities (cdf), and
inverse cumulative probabilities
(invcdf) for chosen distribution

11-10 Meet Minitab


To... Choose...
Calculate row statistics, such as Calc ➤ Row Statistics
mean, median, or standard
deviation, for each row of chosen
variables

Change data type to/from numeric, Data ➤ Change Data Type
text, or date/time

Change value or set of values to new Data ➤ Code
values (numeric, text, or date/time
data to the same or a different type
of data, or use conversion table)

Create mesh data for 3D plots Calc ➤ Make Mesh Data

Define custom lists for Autofill Editor ➤ Define Custom Lists

Define missing value strings for Editor ➤ Clipboard Settings
pasted data

Display columns, constants, or Data ➤ Display Data
matrices in Session window

Extract one or more parts of date/ Data ➤ Extract from Date/Time ➤ To Numeric
time data—for example, quarter and Data ➤ Extract from Date/Time ➤ To Text
year—and put in another column

Find/replace data Editor ➤ Find
Editor ➤ Replace

Generate column of ranks for Data ➤ Rank
variable

Generate random data for many Calc ➤ Random Data
distributions, including normal,
chi-square, binomial, and Weibull

Make indicator (dummy) variables Calc ➤ Make Indicator Variables

Make patterned data (simple or Calc ➤ Make Patterned Data
arbitrary set of numbers, text values,
and simple or arbitrary set of date/
time values)

Set starting point for random data Calc ➤ Set Base
generator

Standardize (center and scale) Calc ➤ Standardize
columns of data

Meet Minitab 11-11


To... Choose...
Use Calculator to do arithmetic Calc ➤ Calculator
operations, comparison operations,
logical operations, functions, column
and row operations, and assign
formulas to columns

Work with matrices Calc ➤ Matrices

Data import To... Choose...
and export Copy, cut, or paste text in Session Edit ➤ Copy
window Edit ➤ Cut
Edit ➤ Paste

Enable or disable command Editor ➤ Enable Commands
language

Find/replace output contents Editor ➤ Find
Editor ➤ Replace

Make output editable or uneditable Editor ➤ Output Editable

Print Session window File ➤ Print Session Window

Save Session window output as TXT, File ➤ Save Session Window As
RTF, HTM, HTML, or LIS file

Scroll through output by command Editor ➤ Next
Editor ➤ Previous

Select entire contents of Session Edit ➤ Select All
window

Set fonts to be used in Session Editor ➤ Apply Font
window

View Session window Window ➤ Session

1

Statistics To perform this analysis... Choose...
Basic statistics
Calculate column statistics, such as Calc ➤ Column Statistics
mean, median, or standard deviation

11-12 Meet Minitab


To perform this analysis... Choose...
Calculate row statistics, such as Calc ➤ Row Statistics
mean, median, or standard
deviation, for each row of chosen
variables

Descriptive statistics Stat ➤ Basic Statistics ➤
Display Descriptive Statistics
Store Descriptive Statistics
Graphical Summary

Z- or t-tests Stat ➤ Basic Statistics ➤
1-Sample Z
1-Sample t
2-Sample t
Paired t

1 or 2 proportions Stat ➤ Basic Statistics ➤
1 Proportion
2 Proportions

1- or 2-sample Poisson rate Stat ➤ Basic Statistics ➤
1-Sample Poisson Rate
2-Sample Poisson Rate

1 or 2 variances Stat ➤ Basic Statistics ➤
1 Variance
2 Variances

Correlation or covariance Stat ➤ Basic Statistics ➤
Correlation
Covariance

Normality test Stat ➤ Basic Statistics ➤ Normality Test

Goodness-of-fit for Poisson Stat ➤ Basic Statistics ➤ Goodness-of-Fit Test
for Poisson

Regression
Regression (simple/multiple, Stat ➤ Regression ➤
stepwise, best subsets, or fitted line Regression
plot) Stepwise
Best Subsets
Fitted Line Plot

Partial least squares Stat ➤ Regression ➤ Partial Least Squares

Meet Minitab 11-13


Logistic regression Stat ➤ Regression ➤
Binary Logistic Regression
Ordinal Logistic Regression
Nominal Logistic Regression

ANOVA (analysis of variance)
Analysis of variance Stat ➤ ANOVA ➤
One-Way
One-Way (Unstacked)
Two-Way
Balanced ANOVA
General Linear Model
Fully Nested ANOVA

Multivariate ANOVA Stat ➤ ANOVA ➤
Balanced MANOVA
General MANOVA

Graphical analysis Stat ➤ ANOVA ➤
Analysis of Means
Interval Plot
Main Effects Plot
Interactions Plot

Test for equal variances Stat ➤ ANOVA ➤ Test for Equal Variances

DOE (design of experiments)
Factorial designs (create, analyze, or Stat ➤ DOE ➤ Factorial ➤
plot) Create Factorial Design
Define Custom Factorial Design
Select Optimal Design
Pre-Process Responses for Analyze Variability
Analyze Factorial Design
Analyze Variability
Factorial Plots
Contour/Surface Plots
Overlaid Contour Plot
Response Optimizer

11-14 Meet Minitab


Response surface designs (create, Stat ➤ DOE ➤ Response Surface ➤
analyze, or plot) Create Response Surface Design
Define Custom Response Surface Design
Analyze Response Surface Design
Response Optimizer

Mixture designs (create, analyze, or Stat ➤ DOE ➤ Mixture ➤
plot) Create Mixture Design
Define Custom Mixture Design
Simplex Design Plot
Factorial Plots
Analyze Mixture Design
Response Trace Plot
Response Optimizer

Taguchi designs (create, analyze, or Stat ➤ DOE ➤ Taguchi ➤
plot) Create Taguchi Design
Define Custom Taguchi Design
Analyze Taguchi Design
Predict Taguchi Results

Control charts
Box-Cox transformation Stat ➤ Control Charts ➤ Box-Cox
Transformation

Variables charts for data in subgroups Stat ➤ Control Charts ➤ Variables Charts for
Subgroups ➤
Xbar-R
Xbar-S
I-MR-R/S (Between/Within)
Xbar
R
S
Zone

Meet Minitab 11-15


Variables charts for individual data Stat ➤ Control Charts ➤ Variables Charts for
points Individuals ➤
I-MR
Z-MR
Individuals
Moving Range

Attributes charts Stat ➤ Control Charts ➤ Attributes Charts ➤
P
NP
C
U

Time-weighted charts Stat ➤ Control Charts ➤ Time-Weighted
Charts ➤
Moving Average
EWMA
CUSUM

Multivariate control charts Stat ➤ Control Charts ➤ Multivariate Charts ➤
Tsquared-Generalized Variance
Tsquared
Generalized Variance
Multivariate EWMA

Quality tools
Charts Stat ➤ Quality Tools ➤
Run Chart
Pareto Chart
Cause-and-Effect
Multi-Vari Chart
Symmetry Plot

Process capability Stat ➤ Quality Tools ➤
Individual Distribution Identification
Johnson Transformation
Capability Analysis
Capability Sixpack

11-16 Meet Minitab


Measurement system analysis Stat ➤ Quality Tools ➤ Gage Study ➤
Type I Gage Study
Create Gage R&R Worksheet
Gage Run Chart
Gage Linearity and Bias Study
Gage R&R (Crossed)
Gage R&R (Nested)
Attribute Gage Study (Analytic Method)

Attribute agreement analysis Stat ➤ Quality Tools ➤ Attribute Agreement
Analysis

Acceptance sampling Stat ➤ Quality Tools ➤
Acceptance Sampling by Attributes
Acceptance Sampling by Variables

Reliability/survival
Test plans Stat ➤ Reliability/Survival ➤
Demonstration Test Plans
Estimation Test Plans
Accelerated Life Test Plans

Distribution analysis −right or Stat ➤ Reliability/Survival ➤ Distribution
arbitrary censoring Analysis ➤
Distribution ID Plot
Distribution Overview Plot
Parametric Distribution Analysis
Nonparametric Distribution Analysis

Warranty analysis Stat ➤ Reliability/Survival ➤ Warranty Analysis ➤
Pre-Process Warranty Data
Warranty Prediction

Growth curves Stat ➤ Reliability/Survival ➤ Repairable
Systems Analysis ➤
Parametric Growth Curve
Nonparametric Growth Curve

Regression with life data Stat ➤ Reliability/Survival ➤ Regression with
Life Data

Accelerated life testing Stat ➤ Reliability/Survival ➤ Accelerated Life
Testing

Probit analysis Stat ➤ Reliability/Survival ➤ Probit Analysis

Meet Minitab 11-17


Multivariate
Principal components and factor Stat ➤ Multivariate ➤
analysis Principal Components
Factor Analysis

Cluster analysis Stat ➤ Multivariate ➤
Cluster Observations
Cluster Variables
Cluster K-Means

Discriminant analysis Stat ➤ Multivariate ➤ Discriminant Analysis

Correspondence analysis Stat ➤ Multivariate ➤
Simple Correspondence Analysis
Multiple Correspondence Analysis

Time series
Time series plot Stat ➤ Time Series ➤ Time Series Plot

Ad hoc model fitting techniques Stat ➤ Time Series
Trend Analysis
Decomposition
Moving Average
Single Exp Smoothing
Double Exp Smoothing
Winters’ Method

Differences and lag Stat ➤ Time Series ➤
Differences
Lag

Correlation analysis Stat ➤ Time Series ➤
Autocorrelation
Partial Autocorrelation
Cross Correlation

ARIMA Stat ➤ Time Series ➤ ARIMA

Tables
Tally variables Stat ➤ Tables ➤ Tally Individual Variables

Cross-tabulation and chi-square Stat ➤ Tables ➤ Cross-Tabulation and
Chi-Square

Chi-square test Stat ➤ Tables ➤ Chi-Square Test (Two-Way
Table in Worksheet)

11-18 Meet Minitab


Descriptive statistics Stat ➤ Tables ➤ Descriptive Statistics

Nonparametrics
Median tests Stat ➤ Nonparametrics ➤
1-Sample Sign
1-Sample Wilcoxon
Mann-Whitney

Analysis of variance by ranks Stat ➤ Nonparametrics ➤
Kruskal-Wallis
Mood’s Median Test
Friedman

Test of randomness (runs test) Stat ➤ Nonparametrics ➤ Runs Test

Pairwise statistics Stat ➤ Nonparametrics ➤
Pairwise Averages
Pairwise Differences
Pairwise Slopes

Exploratory data analysis (EDA)
Plots Stat ➤ EDA ➤
Stem-and-Leaf
Boxplot

Analysis Stat ➤ EDA ➤
Letter Values
Median Polish
Resistant Line
Resistant Smooth
Rootogram

Power and sample size
Z- or t-tests Stat ➤ Power and Sample Size ➤
1-Sample Z
1-Sample t
2-Sample t

1 or 2 proportion Stat ➤ Power and Sample Size ➤
1 Proportion
2 Proportions

One-way ANOVA Stat ➤ Power and Sample Size ➤ One-Way
ANOVA

Meet Minitab 11-19


Factorial design Stat ➤ Power and Sample Size ➤
2-Level Factorial Design
Plackett Burman Design

Graphs To... Choose...
Examine relationships between pairs Graph ➤
of variables Scatterplot
Matrix Plot
Marginal Plot

Examine and compare distributions Graph ➤
Histogram
Dotplot
Stem-and-Leaf
Probability Plot
Empirical CDF
Boxplot
Probability Distribution Plot

Compare summaries or individual Graph ➤
values of variables Boxplot
Interval Plot
Individual Value Plot
Line Plot
Bar Chart
Pie Chart

Assess distributions of counts Graph ➤
Bar Chart
Pie Chart

Plot a series of data over time Graph ➤
Time Series Plot
Area Graph
Scatterplot

Examine relationships among three Graph ➤
variables Contour Plot
3D Scatterplot
3D Surface Plot

Display character graphs (must be Character Graphs ➤ choose graph
added via Tools ➤ Customize ➤
Menu)

11-20 Meet Minitab


Graph To... Choose...
windows Add gridlines, reference lines, data Editor ➤ Add
labels, titles, or other items to graph

Add variables to brushing table Editor ➤ Set ID Variables

Bring selected annotation element to Editor ➤ Annotation ➤ Bring to Front
front or send to back Editor ➤ Annotation ➤ Send to Back

Brush graphs Editor ➤ Brush

Change 3D Surface Plot lighting Tools ➤ Toolbars ➤ 3D Graph Tools
(only available via 3D Graph Tools
toolbar)

Copy command language of graph, Editor ➤ Copy Command Language
including for editing

Copy graph to paste into another Edit ➤ Copy Graph
application

Copy selected graph text Editor ➤ Copy Text

Create column that identifies Editor ➤ Create Indicator Variables
brushed rows

Deselect graph element Editor ➤ Select

Duplicate annotation Editor ➤ Annotation ➤ Duplicate Annotation

Duplicate graph Editor ➤ Duplicate Graph

Edit selected element of graph Editor ➤ Edit selected element

Layout different graphs on same Editor ➤ Layout Tool
page

Make similar graph by changing only Editor ➤ Make Similar Graph
variables

Open graph File ➤ Open Graph

Panel graphs of different groups in Editor ➤ Panel
same graph window

Print graph File ➤ Print Graph

Rotate 3D graph (only available via Tools ➤ Toolbars ➤ 3D Graph Tools
3D Graph Tools toolbar)

Rotate selected annotation element Editor ➤ Annotation ➤ Rotate Left or Rotate
Right

Meet Minitab 11-21


To... Choose...
Save graph (Minitab MGF, JPG, TIF, File ➤ Save Graph As
PNG, or Windows BMP)

Select graph element for editing Editor ➤ Select Item ➤

Show or hide graph annotation Editor ➤ Annotation ➤ Graph Annotation
toolbar Tools

Update graph when data change Editor ➤ Update

View exact xy coordinates of point Editor ➤ Crosshairs
on graphs with standard two-variable
regions

View exact xyz coordinates of point Editor ➤ Plant Flag
on factorial, response surface, or
mixture contour plots

Zoom in and out on graph Editor ➤ Zoom

11-22 Meet Minitab

Index

Numerics C analyzing 3-1
coding 8-8
date/time 11-5
3D Graph Tools toolbar 11-4 calculate formulas 8-9 forms 11-5
Calculator 8-9 merging 8-3, 8-4
capability analysis 4-8 numeric 11-5
A center line 4-2 replacing 8-8
stacking 8-6
interpreting 4-8
text 11-5
adding data to a worksheet 4-5 changing defaults 9-2
types 1-5, 11-5
analysis of variance 3-4 coding data 8-8
data entry arrow 4-5
Tukey’s multiple comparison columns 1-5, 11-5
test 3-4 data folder, setting default 1-5
assigning formulas 8-9
analyzing data 3-1 inserting 8-8 data sets, sample 11-6
annotating graph layout 2-13 naming 8-8 Data window 1-3
annotation, automatic 9-2 number 1-5 date/time data 11-5
stacking 8-6 default settings
ANOVA
see analysis of variance Command Line Editor 6-5 changing 9-2
command prompt 6-2 data folder 1-5
Append to Report 7-2
confidence intervals 3-6 graphs 2-6
arithmetic functions restoring 9-2, 9-6
see Calculator constants 11-5
descriptive statistics, displaying 3-2
arrow, data entry 4-5 contacting Minitab 10-3
design of experiments (DOE) 5-1
assessing quality 4-1 control charts 4-2
adding reference line 4-7 Display Descriptive Statistics 3-2
assign formulas to a column 8-9
setting options 4-3 DOE 5-1
Autofill 4-5
subgroups 4-3
automatic footnote, creating 9-2 updating 4-6
automating an analysis 6-7 control limit 4-2 E
Copy to Word Processor 7-7
Cpm value, interpreting 4-10 editing graphs 2-5
B custom toolbars, creating 9-3 editing in ReportPad 7-5
customer support 10-3 editing tools for graphs 7-7
boxplots of data 3-5 effects plots 5-8
customizing Minitab 9-1
built-in graphs 2-1, 3-1 Embedded Graph Editor 7-7
generating 3-5
environment, in Minitab 11-2
D Excel, merging data into worksheet
8-3
data Exec file 6-6
adding to a worksheet 4-5 experimental designs 5-1

Meet Minitab I-1

F G I
factorial designs 5-1 Graph Annotation Tools toolbar individual value plot 2-2, 3-5
analyzing 5-6 11-4 interpreting 2-4
creating 5-2 Graph Editing toolbar 11-4 information, resources 10-2
effects plots 5-8 Graph folder 11-3 inserting a column 8-8
entering data 5-5
Graph windows 11-2 interaction plot 5-9
fitting a model 5-6
interaction plot 5-9 graphing data 2-1 Internet, Minitab on the 10-3
main effects plot 5-9 graphs 2-1
naming factors 5-3 adding reference line 4-7
randomizing run order 5-4
selecting 5-2
adding to ReportPad 7-2
built-in 2-1, 3-1, 3-5
K
Factorial Designs toolbar 11-4 changing default settings 2-6
keyboard shortcuts
editing 2-5, 2-10, 7-8
factorial plots 5-9 assigning 9-5
editing in another application
files default 9-6
7-7
HTML format 7-6 embedded editing tools 7-7
merging 8-3, 8-4 gallery 2-2
MPJ file type 2-14
MTB file type 6-7
generating session commands L
after editing 6-6
MTW file type 8-2 layout tool 2-11
opening a worksheet 8-2 layout tool for graphs 2-11
printing 2-13 adding annotation 2-13
RTF format 7-6, 7-7 updating 4-5
saving projects 2-13 printing 2-13
viewing 3-11
text 8-4
grouped histogram 2-4
types used by Minitab 8-2
interpreting 2-5
XLS format 8-3 M
folder
Graph 11-3 macros 6-6
History 6-5, 11-3 H main effects plot 5-9
Related Documents 11-4
Manage Profiles 9-6
ReportPad 7-2, 11-4 Help 10-1
Session 11-3 accessing 2-8, 10-4 mathematical functions
setting default 1-5 command-specific information see Calculator
Worksheet 11-4 10-7 matrices 11-5
font, changing in ReportPad 7-5 finding information 10-6 menu bar 11-4
footnote overview 10-4 merging files 8-3, 8-4
adding to graphs 2-10 session commands 10-10 missing values 8-6
creating automatic 9-2 StatGuide 10-8
mixture designs 5-1
What’s New 10-3
forms of data 11-5 Mixture Designs toolbar 11-4
histogram
formula in a column 8-9 Move to Word Processor 7-6
grouped 2-4
four-in-one residual plot 3-8 grouped, interpreting 2-5 MPJ file format 2-14
paneled 2-6 MTB macro file 6-7
History folder 6-5, 11-3 MTW file format 8-2
HTML file format 7-6 multiple comparison of means 3-4
hypothesis testing 3-4 interpreting 3-6
StatGuide 3-8

I-2 Meet Minitab

N Show Session Folder icon 3-10
toolbar 3-10, 11-4
S
Worksheet folder 11-4
naming columns 8-8 sample data sets 11-6
normal distribution 2-2 saving
Execs 6-6
normal probability plot of effects
5-8
Q project 2-13
numeric data 11-5 report 7-6
quality 4-1 worksheet 8-11
quick reference 11-6 scatterplot 2-9
editing 2-10
O interpreting 2-10

one-way ANOVA 3-4, 3-8
R Session Command Help 10-10
command-specific information
opening a worksheet 1-4, 8-2 10-11
randomizing run order 5-4
options finding information 10-10
ReadMe file 10-3
setting for Minitab 9-2 session commands 6-1
setting for tests for special reference line 4-7
enabling 6-2
causes 4-3 Related Documents folder 11-4 generating for edited graph 6-6
OptiPlot toolbar 11-4 repeating an analysis 6-5 using 6-1
replacing values in a worksheet 8-8 Session folder 11-3
replicates 5-3 Session window 1-3, 11-2
P ReportPad 7-2, 11-4 adding output to ReportPad
7-3
adding graphs 7-2
adding Session window output command prompt 6-2
p-value 3-6
7-3 viewing output 3-3
paneled histogram 2-6
changing font 7-5 setting options 9-2
Pareto chart of effects 5-8 editing 7-5 shortcut keys
plots saving contents 7-6 assigning 9-5
effects 5-8 reports default 9-6
factorial 5-9 copying to word processor 7-6 shortcut menus 11-4
individual value 2-2, 3-5 saving 7-6
residual 3-5, 3-7 Show Graphs icon 3-11
residual plots 3-5
scatterplot 2-9 Show Session Folder icon 3-10
four-in-one 3-8
preparing a worksheet 8-1 histogram of the residuals 3-7 special causes 4-2
previewing a worksheet 8-4 normal probability plot 3-7 specification limits 4-9
printing 2-13 residuals versus order 3-7 stability 4-2
process capability 4-8 residuals versus the fitted stacking data 8-6
values 3-7 Standard Toolbar 11-4
profiles, managing 9-6
response surface designs 5-1 starting Minitab 1-3
project files, saving 2-13
Response Surface Designs toolbar StatGuide 10-8
Project Manager 3-10
11-4 accessing 3-8, 10-8
Graph folder 11-3
History folder 6-5, 11-3 restoring default settings 9-2, 9-6 command-specific information
Info window 8-5 rows 1-5 10-9
Related Documents 11-4 RTF file format 7-6, 7-7 finding information 10-8
ReportPad 7-2, 11-4 status bar 11-2, 11-4
Session folder 11-3 stored constants 11-5
Show Graphs icon 3-11

Meet Minitab I-3

subgroups 4-3
subscripts 8-7
V
variables 1-5
entering in a dialog box 2-3
T viewing
graphs 3-11
Taguchi designs 5-1 Session window output 3-3
Taguchi Designs toolbar 11-4
target value 4-7, 4-9
interpreting 4-10 W
technical support 10-3
tests for special causes 4-2 Web site 10-3
setting options 4-3 What’s New file 10-3
text window
data 11-5 Data 1-3, 11-2
files 8-4 Graph 11-2
time data Project Manager 11-3
see date/time data Session 1-3, 11-2
toolbars 11-2 word processor, copy report to a 7-6
3D Graph Tools 11-4 worksheet 1-3
creating custom 9-3 adding data 4-5
DOE 11-4 Autofill 4-5
Factorial Designs 11-4 entering data 4-5
Graph Annotation Tools 11-4 merging data from Excel 8-3
Graph Editing 11-4 merging data from text file 8-4
Mixture Designs 11-4 opening 1-4, 8-2
OptiPlot 11-4 preparing 8-1
Project Manager 3-10, 11-4 previewing 8-4
Response Surface Designs saving 8-11
11-4 viewing a summary 8-5
Standard 11-4 Worksheet folder 11-4
Taguchi Designs 11-4
Worksheet toolbar 11-4
Worksheet 11-4
WWW address 10-3
Tukey’s multiple comparison test
3-4
interpreting 3-6
StatGuide 3-8 X
typographical conventions 1-2
Xbar-S chart 4-3
interpreting 4-5
U XLS file format 8-3

updating a formula 8-10
updating graphs 4-5

I-4 Meet Minitab

Documentation
To help you use Minitab most effectively, Minitab offers a variety of helpful documentation.
Meet Minitab: Meet Minitab is a concise guide to getting started with Minitab software. You can order
Meet Minitab by contacting your nearest Minitab office, or download the electronic version for free from
our website. Simply go to www.minitab.com/products/minitab/15, click the Documentation link, and
follow the onscreen instructions.
Minitab Help: This comprehensive, convenient source of information is available at the touch of a key or a
click of the mouse. In addition to complete menu and dialog box documentation, you can find overviews,
examples, guidance for setting up your data, information on calculations and methods, and a glossary.
Minitab StatGuide™: The online StatGuide explains how to interpret statistical tables and graphs in a
practical, easy-to-understand way. The tone is informal and friendly, and it is easily accessible by
right-clicking output or by clicking the icon in the toolbar. From basic statistics, to quality tools, to design of
experiments, you'll get easy-to-understand guidance when you need it.
Minitab Statistical Glossary: This comprehensive glossary covers all areas of Minitab statistics. Each
definition contains practical, easy-to-understand information, including examples and output. You can find
it on the Help menu.
Tutorials: The tutorials help you learn Minitab quickly. You can find them on the Help menu.
Companion Text List: The Companion Text List (CTL) is an online bibliographical listing of currently
available texts that feature Minitab Statistical Software, including textbooks, textbook supplements, and
other related teaching materials. The CTL, updated continuously, is easy to search and a valuable resource
for statisticians, teachers, and Minitab users. Check the CTL at www.minitab.com/resources/ctl/.
Minitab Handbook, Fifth Edition: A supplementary text that teaches basic statistics using Minitab, the
Handbook features the creative use of plots, application of standard statistical methods to real data,
in-depth exploration of data, and more. To order, please contact your nearest Minitab office.
We appreciate your feedback! If you find errors or problems within any of Minitab’s documentation, please
notify us by e-mailing doc_comments@minitab.com.

Additional Minitab Products
Minitab offers a collection of software, support materials and services that enable you to manage your
quality and process improvement processes. Please contact your nearest Minitab office to receive additional
information about the following:
Quality Companion by Minitab™: This process management software enables you to organize and
Implement the “soft” tasks of process improvement–such as process mapping, brainstorming, and
consensus building. Please visit the Minitab website to learn more, take a tour, or try the free trial software.
Quality Trainer by Minitab™: This statistics instructional software helps quality professionals, especially
those involved with Six Sigma, learn how to use both statistics and Minitab through a convenient and
engaging web-based multi-media course.
Other language products: In our continuing effort to support the global community, Minitab has product
and documentation offerings in several languages. Presently, French, German, Japanese, Korean,
Portuguese, Spanish, Simplified Chinese, and Traditional Chinese products are available.
Student product: Minitab Student Software is a streamlined and economical version of Professional
Minitab, designed specifically for introductory and business statistics courses. It comes bundled with a wide
variety of textbooks from leading textbook publishers. This product is for academic use only by degree
granting, accredited institutions.
Educational Resources: Explore a wealth of additional educational resources at
www.minitab.com/education.
Training by Minitab: A variety of training services are available to help you build the Minitab skills and
confidence you need to improve quality. Public and On-Site Training courses are available worldwide, and
our Mentoring services offer customers in North America the personalized statistical support they need on
a per-project basis. Visit Training by Minitab for details: www.minitab.com/training.

How to Order Additional Products
To order, contact Minitab Inc., Minitab Ltd., Minitab SARL, or your local partner. Contact information
is provided on the back cover of this book. Or, visit our web site at www.minitab.com.

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