In hypothesis testing, the rejection region will always have a smaller area than the rest of the distribution.

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This is true because the rejection region is the area in the tail(s) of the distribution where the test statistic falls beyond a certain critical value, indicating that the null hypothesis should be rejected in favor of the alternative hypothesis. This area is determined by the level of significance chosen for the test, which is typically a small probability such as 0.05 or 0.01. Therefore, the rejection region will always have a smaller area than the non-rejection region, which includes the values that are consistent with the null hypothesis.

In Hypothesis Testing, the Rejection Region Will Always Have a Smaller