When we carry out a chi-square test of independence,as the differences between the respective observed and expected frequencies decrease,the probability of concluding that the row variable is independent of the column variable:
A)Decreases.
B)Increases.
C)May decrease or increase depending on the number of rows and columns.
D)Will be unaffected.

Question

Quizplus · Accepted Answer

As the differences between the respective observed and expected frequencies decrease, the chi-square test value decreases, leading to a higher probability of concluding that the row variable is independent of the column variable. Lower chi-square test values indicate less deviation from independence and, therefore, a higher probability of independence.

When We Carry Out a Chi-Square Test of Independence,as the Differences