题目
Which of the following statements regarding hypothesis testing is incorrect?
选项
A.Type II error refers to the failure to reject the null hypothesis 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 form a sample that is drawn from that 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.The p-value decision rule is to reject the null hypothesis if the p-value is greater than the significance level.
答案
D
解析
We would reject the null if the observed p-value is lower (not greater) than the significance level. 如果观察到的p值低于（不大于）显着性水平，我们将拒绝。