There is an inverse relationship between the probabilities of Type I and Type II errors; as one increases,the other decreases,and vice versa.

Question

Quizplus · Accepted Answer

This statement is true according to statistics. When the probability of Type I error (rejecting a true null hypothesis) decreases, the probability of Type II error (failing to reject a false null hypothesis) increases, and vice versa. This is known as the power of a statistical test.

There Is an Inverse Relationship Between the Probabilities of Type