Chapter 11. Categorical Distributions
Overview
When a response is categorical, a different set of tools is needed to analyze the data. This chapter focuses on simple categorical responses and introduces these topics:
There are two ways to approach categorical data. This chapter refers to them as choosing and counting. They use different tools and conventions for analysis.
The concept of variability in categorical responses is more difficult than in continuous responses. Monte Carlo simulation helps demonstrate how categorical variability works.
The chi-square test is the fundamental statistical tool for categorical models. There are two kinds of chi-square tests. They test the same thing in a different way and get similar results.
Fitting models to ...
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