which of the following is a reason not to use a chi-square test of homogeneity to analyze a set of data?
Which of the following is a reason not to use a chi-square test of homogeneity to analyze a set of data?
Answer: One reason not to use a chi-square test of homogeneity to analyze a set of data is when the assumptions of the test are not met. Chi-square test of homogeneity assumes that the variables are categorical, the observations are independent, and the expected frequency of each cell is at least 5. If these assumptions are violated, the results of the test may not be valid or reliable. In such cases, it is advisable to consider alternative statistical tests that are more appropriate for the data at hand.