The primary purpose of the chi-square test and the tests for mean differences is to evaluate the strength of a relationship,while the primary purpose of a Pearson correlation is to measure the significance of the relationship.

Question

The primary purpose of the chi-square test and the tests for mean differences is to evaluate the strength of a relationship,while the primary purpose of a Pearson correlation is to measure the significance of the relationship.​

Quizplus · Accepted Answer

The statement is incorrect. The primary purpose of the chi-square test is to examine the independence or association between two categorical variables. The test for mean differences (e.g. t-test, ANOVA) is used to compare the means of two or more groups. The primary purpose of the Pearson correlation is to measure the strength and direction of the linear relationship between two continuous variables, but it can also be used to determine whether the relationship is statistically significant.

The Primary Purpose of the Chi-Square Test and the Tests