NO.PZ2023091601000050
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.
The likelihood of
making a Type I error increases.
The
null hypothesis is rejected more frequently, even when it is actually false.
The likelihood of
making a Type II error decreases.
解释：
Decreasing the level
of significance of the test decreases the probability of making a Type I error
and hence makes it more difficult to reject the null when it is true. However,
the decrease in the chance of making a Type I error comes at the cost of increasing
the probability of making a Type II error, because the null is rejected less
frequently, even when it is actually false.
置信区间变窄，去真的可能性变大，这就是Type I的错误啊？
