There is an inverse relationship between the probabilities of Type I and Type II errors.

Question

Quizplus · Accepted Answer

This is known as the "power vs. Type I error tradeoff." To decrease the probability of a Type I error (rejecting a true null hypothesis), the significance level (α) can be lowered. However, this will increase the probability of a Type II error (failing to reject a false null hypothesis). Similarly, to decrease the probability of a Type II error, the sample size can be increased or the effect size can be increased. However, this will decrease the power of the test and may increase the probability of a Type I error. Therefore, there is an inverse relationship between the probabilities of Type I and Type II errors.

There Is an Inverse Relationship Between the Probabilities of Type