The focus of this chapter is on the development of chi-square goodness-of-fit tests used as nonparametric procedures.
The topics covered are:
Chi-square goodness of fit tests to determine if the sample data come from some specified probability model
The chi-square test of a hypothesis that the two factors cross-classifying a sample (count or frequency) data are independent
Use of 2 × 2 and r × s contingency tables to test a hypothesis that the populations under investigation are homogeneous with respect to certain criteria
Learning Outcomes:
After studying this chapter, the reader will be able to
Use the chi-square goodness of fit test to evaluate certain distributional assumptions.
Test whether or not two classifications of a population are independent.
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