If the test statistic for a chi-square goodness-of-fit test is larger than the critical value, the null hypothesis should be rejected.

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When the test statistic for a chi-square goodness-of-fit test exceeds the critical value, it indicates that the observed frequencies differ significantly from the expected frequencies under the null hypothesis, leading to the rejection of the null hypothesis.

If the Test Statistic for a Chi-Square Goodness-Of-Fit Test Is