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.
不犯第二种错误是不是也可能犯第一种错误，没有说假设的前提条件一样啊