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

Question

Quizplus · Accepted Answer

This is because the significance level determines the threshold for rejecting the null hypothesis, so as it increases, it becomes easier to reject the null hypothesis and thus increases the chances of making a Type I error. Additionally, the rejection region corresponds to the area where the null hypothesis is rejected, so as the significance level increases, the rejection region also increases in size.

As the Significance Level α\alphaα Increases, the Probability of a Type I Error Increases and Type

As the Significance Level $\alpha$ Increases, the Probability of a Type I Error Increases and Type