As the significance level increases, the probability of a Type I error increases and the size of the rejection region increases.

Question

As the significance level  increases, the probability of a Type I error increases and the size of the rejection region increases.

Quizplus · Accepted Answer

As the significance level increases, the rejection region also increases, which means that more extreme values of the test statistic will lead to rejection of the null hypothesis. This, in turn, increases the probability of a Type I error (rejecting the null hypothesis when it is actually true).

As the Significance Level Increases, the Probability of a Type