In a contingency analysis, the greater the difference between the actual and the expected frequencies, the more likely:
A) H0 should be rejected.
B) H0 should be accepted.
C) we cannot determine H0.
D) the smaller the test statistic will be.

Question

Quizplus · Accepted Answer

The greater the difference between actual and expected frequencies in a contingency analysis, the more likely it is that the null hypothesis (H0) does not hold, leading to its rejection. This is because a significant difference suggests that the observed data do not fit the expected distribution under the null hypothesis.

In a Contingency Analysis, the Greater the Difference Between the Actual