Categorical Variables are used in ANOMA, ANOVA, with Proportions, and in the Chi-Square Tests for Independence and Goodness of Fit. Categorical Variables are also known as "Nominal" (named) Variables and "Attributes" Variables. The concept can be confusing, because the values of a Categorical Variable are not numbers, but names of categories. The numbers associated with Categorical Variables come from counts of the data values within a named category. Here's how it works:- In this example there are two
__Categorical Variables__, "Gender" and "Ice Cream (flavor)". - The
__values__of the two Categorical Variables are the__names of the categories__for the Variable. For example, the Categorical Variable "Gender" has 2 possible values: "female" and "male". - If we're going to use these Variables in a Chi-Square Test for Independence, for example, we need to have some numbers. The
__numbers are the counts__of the data values in each category. For example, the count of persons whose gender is "female" and whose favorite ice cream flavor is "vanilla" is 25.
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## AuthorAndrew A. (Andy) Jawlik is the author of the book, Statistics from A to Z -- Confusing Concepts Clarified, published by Wiley. ## Archives
May 2019
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