Describe the type of data for which the Chi Square test is appropriate.
Explain when you would use the Chi Square test of goodness of fit and when you would use the Chi Square test of independence.
Describe characteristics of the Chi Square distribution.
Use the Chi Square table to find critical values of Chi Square for various combinations of df and alpha.
Describe H0 and H1 for goodness of fit tests.
Given a research question about percentages in a population and the size of a sample, state the null hypothesis and calculate the expected proportions and the expected frequencies.
Given an expected distribution of proportions or percentages across categories of a variable, as well as sample size, calculate the expected frequencies and df.
Given observed frequencies across the categories, calculate and evaluate Chi Square observed, and recognize correct and incorrect interpretations of the results.
State H0 and H1 (in words) for tests of independence.
Given a two-way contingency table (observed frequencies across categories for two or more groups), calculate expected frequencies and df.
Calculate and evaluate Chi Square observed from two-way contingency tables, and recognize correct and incorrect interpretations of the results.
State the assumptions underlying the Chi Square test.