A null hypothesis is rejected when the calculated p-value is less than the critical value of the test statistic.

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A null hypothesis is rejected when the calculated p-value is less than the significance level (alpha), not the critical value of the test statistic. The critical value is used to determine the cutoff points on the test statistic distribution that define the rejection region, whereas the p-value is the probability of observing a test statistic as extreme as, or more extreme than, the observed value under the assumption that the null hypothesis is true.

A Null Hypothesis Is Rejected When the Calculated P-Value Is