NO.PZ2016062402000018
问题如下：
When testing a hypothesis, which of the following statements is correct when the level of significance of the test is decreased?
选项：
A.
The likelihood of rejecting the null hypothesis when it is true decreases.
B.
The likelihood of making a type 1 error increases.
C.
The null hypothesis is rejected more frequently, even when it is actually false.
D.
The likelihood of making a type 2 error decreases.
解释：
The significance level is also the probability of making a type 1 error, or to reject the null hypothesis when true, which decreases. This is the opposite of answers B and C, which are false. This leads to an increase in the likelihood of making a type 2 error, which is to accept a false hypothesis, so answer D is false.
就是当原假设正确，我拒绝了原假设，所以为什么不选B呢
