Distinguishing Chi-Square Tests
Which of the following best describes the difference between a chi-square test for independence and a chi-square test for homogeneity?
The test for independence requires a larger sample size than the test for homogeneity to achieve the same level of statistical power.
The test for independence examines the relationship between two categorical variables within a single population, while the test for homogeneity compares the distribution of a single categorical variable across multiple populations.
The test for independence analyzes continuous variables, while the test for homogeneity is used exclusively for categorical data.
The test for independence uses a different chi-square distribution than the test for homogeneity, resulting in different critical values.
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