For a given sample size, when we increase the probability of a Type I error, the probability of a Type II error:
A)remains unchanged.
B)increases.
C)decreases.
D)is impossible to determine without more information.

Question

Quizplus · Accepted Answer

Increasing the probability of a Type I error (rejecting a true null hypothesis) generally leads to a decrease in the probability of a Type II error (failing to reject a false null hypothesis), because the criteria for rejecting the null hypothesis become less stringent.

For a Given Sample Size, When We Increase the Probability