For a hypothesis test with a probability of a Type II error of 60% and a probability of a Type I error of 5%, which of the following statements is most accurate?

A.The power of the test is 40%,and there is a 5% probability that the test statistic will exceed the critical value(s).

B.There is a 95% probability that the test statistic will be between the critical values if this is a two-tailed test.

C.There is a 5% probability that the null hypothesis will be rejected when actually true,and the probability of rejecting the null when it is false is 40%.