A large negative chi-square test statistic would indicate that the null hypothesis should be rejected.

Question

Quizplus · Accepted Answer

The chi-square test statistic is always non-negative because it is calculated as the sum of squared differences between observed and expected frequencies, divided by the expected frequencies. A large value might lead to rejection of the null hypothesis, but the statistic itself cannot be negative.

A Large Negative Chi-Square Test Statistic Would Indicate That the Null