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

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When the test statistic is greater than the critical value, it means that the observed data deviate significantly from the expected values under the null hypothesis. Therefore, we reject the null hypothesis in favor of the alternative hypothesis, indicating that there is a significant difference between the observed and expected values.

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