问题如下：
The power of a hypothesis test is:
选项：
A.equivalent to the level of significance
B.the probability of not making a Type II error.
C.unchanged by increasing a small sample size.
解释：
B is correct.
The power of a hypothesis test is the probability of correctly rejecting the null when it is false. Failing to reject the null when it is false is a Type II error. Thus, the power of a hypothesis test is the probability of not committing a Type II error.
1-P 是指再原假设错误的情况下的条件概率，而题干中没有指出原假设错误，因此，Not making Type II error，应包含 原假设正确的情况，和原假设错误时Power of test 的情况。请老师讲评，是不是提出的有问题？
