As the probability of committing a Type I error increases
A) the probability of committing a Type II error decreases.
B) the probability of committing a Type II error generally increases.
C) the probability of committing a Type II error may increase or decrease.
D) the probability of committing a Type II error will remain constant.

Question

Quizplus · Accepted Answer

A Type I error occurs when a true null hypothesis is incorrectly rejected, while a Type II error occurs when a false null hypothesis is not rejected. Increasing the probability of committing a Type I error (by raising the significance level, for example) generally means that the criteria for rejecting the null hypothesis are less stringent, which in turn reduces the probability of committing a Type II error.

As the Probability of Committing a Type I Error Increases