B5. An analyst has tested the statistical hypothesis H0: = 45 regarding the mean of a population. The alternative hypothesis was formulated as H1: 45. The analyst used the 5% level of significance. Based on the data she collected, she rejected H0. This means that:

A. There is at most a 5% probability that = 45.

B. She could not possibly have made a type II error.

C. If she used the 1% level of significance, she still would have rejected H0 in all cases.

D. There is a 95% probability that she would reach the same conclusion with a new set of data.