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 observed and expected frequencies decrease, it means that the observed and expected frequencies are becoming more similar. This suggests that the row variable and column variable are becoming more independent. Therefore, the probability of concluding that the row variable is independent of the column variable increases.

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