The idea of the chi-square test for independence is to:
A) compare the quantile-quantile (Q-Q)plot with what would be expected under independence
B) compare the actual counts in a contingency table with what would be expected under independence
C) compare the cumulative distribution with what would be expected under independence
D) None of these options

Question

Quizplus · Accepted Answer

The chi-square test for independence is used to determine whether there is a significant association between two categorical variables. It compares the observed counts in a contingency table with the expected counts that would be obtained under the assumption of independence between the two variables. The chi-square test calculates a test statistic and compares it to a chi-square distribution with (r-1)(c-1) degrees of freedom, where r is the number of rows and c is the number of columns in the contingency table. Therefore, choice B is the correct answer.

The Idea of the Chi-Square Test for Independence Is To