选项B错在哪里了呢？谢谢老师

问题如下：

Which of the following statements regarding hypothesis testing is correct?

选项：

A.

Type II error refers to the failure to reject the H1 when it is actually false.

B.

Hypothesis testing is used to make inferences about the parameters of a given population on the basis of statistics computed for a sample that is drawn from another population.

C.

All else being equal, 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.

D.

If the p-value is greater than the significance level, then the statistics falls into the reject intervals.

解释：