6
Most read
8
Most read
9
Most read
Stuti Ranjan
XI-D
“Statistics is the science that deals with the
method of collecting, classifying,
presenting, comparing ,and interpreting
numerical data collected to throw some
light on any sphere of enquiry.”
-Seligman
Collection
of data
Organisatio
n of data
Presentation
of data
Analysis
of data
Interpretatio
n of data
Stage 1 Stage 2 Stage 3 Stage 4
Stage 5
Each stage of statistical study involves the use
of certain techniques or methods
Stages Statistical study Statistical tools
Stage 1 Collection of data Census or
sample method
Stage 2 Organisation of
data
Tally bars
Stage 3 Presentation of
data
Tables, graphs
and polygons,
histograms etc
Stage 4 Analysis of data Percentages
,Averages
Stage 5 Interpretation of
data
Magnitude of
percentages
 Graphic representation gives a visual effect.
Its used in research work for visual
presentation and analysis of data. The
graphic method enables us to present data in
a simple, clear and effective manner
 There are many varieties of graphs .Broadly
graphs can be divided into two parts:
a) Graphs of frequency distribution
b) Graphs of time series
 Histogram is joining rectangular diagram of a continuous
series in which each rectangle represents the class interval
with the frequency .It is a two-dimensional diagram and also
called frequency histogram.
Cases of constructing a hisogram
i. Histogram of equal class interval
ii. Histogram when mid points are give
iii. Histogram when unequal class intervals
Histograms and polygons
Scores(mid
points)
Frequency
5
15
25
35
45
2
5
7
10
4
Ascertainment of lower and upper
limits :
Get the difference between the first
and the second mid point .
Divide it by 2 to get the intervals and
then draw the histogram.
Before presenting the data in the form of
graphs and frequencies , unequal class
intervals are adjusted.
Adjustment factor=class interval of
concerned class divided by lowest class
interval
Marks No of
students
Adjustment
factor
Frequency
density
30-50
50-60
60-70
70-90
90-100
48
30
20
28
16
20/10=2
10/10=1
10/10=1
20/10=2
10/10=1
48/2=24
30/1=30
20/1=20
28/2=14
16/1=16
 Polygon is another form of diagrammatic presentation
of data .
 It is formed by joining all the mid points of the tops of
all rectangles .however they can be formed even
without constructing a histogram.
 Frequency polygons can be drawn in two ways:
i. With a histogram
ii. Without a histogram
Class limits No of sareees
100-200
200-300
300-400
400-500
500-600
600-700
700-800
10
27
37
24
20
15
10
The total area excluded from the
histogram is equal to the area
included under frequency polygon
Mid points Frequency
55
65
75
85
95
1
4
6
5
2
THANK YOU

More Related Content

PPTX
Frequency Polygon.pptx
PPTX
Graphical Representation of data
PPTX
The Mean Deviation.pptx
PPTX
PPTX
Diagrammatic presentation of data
PPTX
Classification and tabulation of data
Frequency Polygon.pptx
Graphical Representation of data
The Mean Deviation.pptx
Diagrammatic presentation of data
Classification and tabulation of data

What's hot (20)

PPTX
Measures of central tendency
PPTX
mean median mode
PPTX
Arithmetic mean
PPTX
Measures of variability
PPTX
Graphical representation of data mohit verma
PPTX
Median
PPT
Introduction to statistics
PPT
Measure of central tendency
PPTX
Normal probability curve zubia
PPT
Measures of dispersion
PPT
Statistical measures
PPTX
Normal Probability Curve- introduction, characteristics and applications
PPTX
Frequency distribution 6
PPTX
Statistics in Education
PPT
Statistics-Measures of dispersions
PPTX
Measures of Central Tendency
PPT
Measures of central tendency
PPTX
Median & mode
DOCX
Frequency curve
PPTX
Continuous and discontinuous variable
Measures of central tendency
mean median mode
Arithmetic mean
Measures of variability
Graphical representation of data mohit verma
Median
Introduction to statistics
Measure of central tendency
Normal probability curve zubia
Measures of dispersion
Statistical measures
Normal Probability Curve- introduction, characteristics and applications
Frequency distribution 6
Statistics in Education
Statistics-Measures of dispersions
Measures of Central Tendency
Measures of central tendency
Median & mode
Frequency curve
Continuous and discontinuous variable
Ad

Viewers also liked (20)

PDF
Histograms, frequency polygons, and ogives
PPSX
Histogram
PPT
Histogram
PPTX
Drawing Frequency Histogram Polygon
PDF
Histograms explained
PPTX
Lecture 15 monkey banana problem
PPTX
Features of gaussian distribution curve
DOCX
PPTX
Normal Distribution
PPTX
Interpretation of cbc 3
PPTX
Normal distribution
PPT
Normal Distribution Presentation
PPTX
2.3 Histogram/Frequency Polygon/Ogives
PPTX
Cause and effect diagram
PPTX
administrating test,scoring,grading vs marks
PPTX
Monkey & banana problem in AI
PPT
Variability
PDF
Describing and Interpreting Test Scores: Frequency Distribution to Measures o...
PPTX
Measures of Variability
PPT
Interpreting Test Scores
Histograms, frequency polygons, and ogives
Histogram
Histogram
Drawing Frequency Histogram Polygon
Histograms explained
Lecture 15 monkey banana problem
Features of gaussian distribution curve
Normal Distribution
Interpretation of cbc 3
Normal distribution
Normal Distribution Presentation
2.3 Histogram/Frequency Polygon/Ogives
Cause and effect diagram
administrating test,scoring,grading vs marks
Monkey & banana problem in AI
Variability
Describing and Interpreting Test Scores: Frequency Distribution to Measures o...
Measures of Variability
Interpreting Test Scores
Ad

Similar to Histograms and polygons (20)

DOC
Ch 3 DATA.doc
PPT
Research notes on Distribution of data.ppt
PPTX
method of data presentation biostatics pptx
PPTX
lesson-data-presentation-tools-1.pptx
PPTX
collectionandrepresentationofdata1-200904192336 (1).pptx
PPTX
Statistics
PPTX
collectionandrepresentationofdata1-200904192336.pptx
PPTX
Tabular and Graphical Representation of Data
PPTX
7 Descriptive Statistics_Mposttest scores
PPTX
collectionandrepresentationofdata1-200904192336.pptx
PPT
Normal frequency distribution curve and its characteristics.ppt
PDF
Chapter 4 MMW.pdf
PPTX
Unit 1 - Statistics (Part 1).pptx
PPTX
Health statics chapter three.pptx for students
PPTX
2- Statistics about statistical to dsp.pptx
PPTX
An Introduction to Statistics
PPTX
Educational Statistics with Software Application.pptx
PDF
00 - Lecture - 02_MVA - Major Statistical Techniques.pdf
PPTX
2-L2 Presentation of data.pptx
Ch 3 DATA.doc
Research notes on Distribution of data.ppt
method of data presentation biostatics pptx
lesson-data-presentation-tools-1.pptx
collectionandrepresentationofdata1-200904192336 (1).pptx
Statistics
collectionandrepresentationofdata1-200904192336.pptx
Tabular and Graphical Representation of Data
7 Descriptive Statistics_Mposttest scores
collectionandrepresentationofdata1-200904192336.pptx
Normal frequency distribution curve and its characteristics.ppt
Chapter 4 MMW.pdf
Unit 1 - Statistics (Part 1).pptx
Health statics chapter three.pptx for students
2- Statistics about statistical to dsp.pptx
An Introduction to Statistics
Educational Statistics with Software Application.pptx
00 - Lecture - 02_MVA - Major Statistical Techniques.pdf
2-L2 Presentation of data.pptx

Recently uploaded (20)

PDF
My India Quiz Book_20210205121199924.pdf
PDF
CISA (Certified Information Systems Auditor) Domain-Wise Summary.pdf
PDF
fundamentals-of-heat-and-mass-transfer-6th-edition_incropera.pdf
PDF
Myanmar Dental Journal, The Journal of the Myanmar Dental Association (2013).pdf
PDF
Vision Prelims GS PYQ Analysis 2011-2022 www.upscpdf.com.pdf
PDF
LIFE & LIVING TRILOGY- PART (1) WHO ARE WE.pdf
PDF
FOISHS ANNUAL IMPLEMENTATION PLAN 2025.pdf
PDF
Fun with Grammar (Communicative Activities for the Azar Grammar Series)
PPTX
Module on health assessment of CHN. pptx
PDF
Environmental Education MCQ BD2EE - Share Source.pdf
PPTX
ELIAS-SEZIURE AND EPilepsy semmioan session.pptx
PDF
Laparoscopic Colorectal Surgery at WLH Hospital
PDF
Τίμαιος είναι φιλοσοφικός διάλογος του Πλάτωνα
PDF
HVAC Specification 2024 according to central public works department
PDF
Civil Department's presentation Your score increases as you pick a category
PDF
Journal of Dental Science - UDMY (2020).pdf
PDF
LIFE & LIVING TRILOGY - PART (3) REALITY & MYSTERY.pdf
PPTX
Macbeth play - analysis .pptx english lit
PDF
English Textual Question & Ans (12th Class).pdf
PDF
semiconductor packaging in vlsi design fab
My India Quiz Book_20210205121199924.pdf
CISA (Certified Information Systems Auditor) Domain-Wise Summary.pdf
fundamentals-of-heat-and-mass-transfer-6th-edition_incropera.pdf
Myanmar Dental Journal, The Journal of the Myanmar Dental Association (2013).pdf
Vision Prelims GS PYQ Analysis 2011-2022 www.upscpdf.com.pdf
LIFE & LIVING TRILOGY- PART (1) WHO ARE WE.pdf
FOISHS ANNUAL IMPLEMENTATION PLAN 2025.pdf
Fun with Grammar (Communicative Activities for the Azar Grammar Series)
Module on health assessment of CHN. pptx
Environmental Education MCQ BD2EE - Share Source.pdf
ELIAS-SEZIURE AND EPilepsy semmioan session.pptx
Laparoscopic Colorectal Surgery at WLH Hospital
Τίμαιος είναι φιλοσοφικός διάλογος του Πλάτωνα
HVAC Specification 2024 according to central public works department
Civil Department's presentation Your score increases as you pick a category
Journal of Dental Science - UDMY (2020).pdf
LIFE & LIVING TRILOGY - PART (3) REALITY & MYSTERY.pdf
Macbeth play - analysis .pptx english lit
English Textual Question & Ans (12th Class).pdf
semiconductor packaging in vlsi design fab

Histograms and polygons

  • 2. “Statistics is the science that deals with the method of collecting, classifying, presenting, comparing ,and interpreting numerical data collected to throw some light on any sphere of enquiry.” -Seligman
  • 3. Collection of data Organisatio n of data Presentation of data Analysis of data Interpretatio n of data Stage 1 Stage 2 Stage 3 Stage 4 Stage 5
  • 4. Each stage of statistical study involves the use of certain techniques or methods Stages Statistical study Statistical tools Stage 1 Collection of data Census or sample method Stage 2 Organisation of data Tally bars Stage 3 Presentation of data Tables, graphs and polygons, histograms etc Stage 4 Analysis of data Percentages ,Averages Stage 5 Interpretation of data Magnitude of percentages
  • 5.  Graphic representation gives a visual effect. Its used in research work for visual presentation and analysis of data. The graphic method enables us to present data in a simple, clear and effective manner  There are many varieties of graphs .Broadly graphs can be divided into two parts: a) Graphs of frequency distribution b) Graphs of time series
  • 6.  Histogram is joining rectangular diagram of a continuous series in which each rectangle represents the class interval with the frequency .It is a two-dimensional diagram and also called frequency histogram. Cases of constructing a hisogram i. Histogram of equal class interval ii. Histogram when mid points are give iii. Histogram when unequal class intervals
  • 8. Scores(mid points) Frequency 5 15 25 35 45 2 5 7 10 4 Ascertainment of lower and upper limits : Get the difference between the first and the second mid point . Divide it by 2 to get the intervals and then draw the histogram.
  • 9. Before presenting the data in the form of graphs and frequencies , unequal class intervals are adjusted. Adjustment factor=class interval of concerned class divided by lowest class interval Marks No of students Adjustment factor Frequency density 30-50 50-60 60-70 70-90 90-100 48 30 20 28 16 20/10=2 10/10=1 10/10=1 20/10=2 10/10=1 48/2=24 30/1=30 20/1=20 28/2=14 16/1=16
  • 10.  Polygon is another form of diagrammatic presentation of data .  It is formed by joining all the mid points of the tops of all rectangles .however they can be formed even without constructing a histogram.  Frequency polygons can be drawn in two ways: i. With a histogram ii. Without a histogram
  • 11. Class limits No of sareees 100-200 200-300 300-400 400-500 500-600 600-700 700-800 10 27 37 24 20 15 10 The total area excluded from the histogram is equal to the area included under frequency polygon