题目
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.
答案
B
解析
： 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. ： B正确。 假设检验的Power of a test是指：当原假设为假时，拒绝原假设的概率。如果原假设为假，不能拒绝它，这属于第二类错误。因此，Power of a test相当于是不犯第二类错误的概率。