Which ONE of the following statements about the Type II error is INCORRECT?

A. The Type II error is the probability of rejecting the null hypothesis when it is true.

B. The Type II error is the probability of a false negative result.

C. The usual level for Type II error rate in sample size calculations is 0.10 or 0.20.

D. To make a Type II error is to reject the alternative hypothesis when it is true.

E. We can reduce the risk of a Type II error by increasing the power of the study.