From the course: Data Literacy: Exploring and Describing Data
Unlock the full course today
Join today to access over 24,500 courses taught by industry experts.
Describe measures of center
From the course: Data Literacy: Exploring and Describing Data
Describe measures of center
- [Instructor] A skilled chef can take a 25-ounce bottle of wine, and through the process of reduction, turn it into four ounces of its purest essence for a sauce. With data analysis, one of the most important things you can do is to take a large collection of numbers and reduce that collection to its essence by finding a single number that best represents all the rest of them. And most often, that single number is a measure of the center of the distribution. Now, the thing about the center is that it's the most concise summary possible. It's a single number. I like to think of it as if you had to describe your entire collection of data in a text message, this is probably what you would want to put. Keep it short and sweet. And there are three very common measures of center. There's a huge number of choices. But the three most common are the mode, the median, and the mean. And each of them applies in different circumstances, and has its own strengths and weaknesses. So let's take a…
Practice while you learn with exercise files
Download the files the instructor uses to teach the course. Follow along and learn by watching, listening and practicing.
Contents
-
-
-
-
-
-
-
(Locked)
Numerical descriptions1m 24s
-
(Locked)
Describe measures of center7m 30s
-
(Locked)
Describe variability with the range and IQR4m 39s
-
(Locked)
Describe variability with the variance and standard deviation7m 10s
-
(Locked)
Rescale data with z-scores3m 8s
-
(Locked)
Interpret z-scores5m 19s
-
(Locked)
Describe group differences with effect sizes7m 53s
-
(Locked)
Predict scores with regression7m 29s
-
(Locked)
Describe associations with correlations4m 50s
-
(Locked)
Effect size for correlation and regression4m 37s
-
(Locked)
Exploring tables7m 43s
-
(Locked)
-
-