Which of the following is a correct decision?
A)reject the null hypothesis when it is false
B)reject the null hypothesis when it is true
C)fail to reject the null hypothesis when it is false
D)none of the above

Question

Quizplus · Accepted Answer

The correct decision in statistical hypothesis testing is to reject the null hypothesis when it is false. This means that the sample data provides evidence that the alternative hypothesis is true and the null hypothesis is not true. The goal of hypothesis testing is to make a decision that minimizes the probability of making a Type I error (rejecting a true null hypothesis) while also minimizing the probability of making a Type II error (failing to reject a false null hypothesis). Rejecting the null hypothesis when it is false helps achieve this goal.

Which of the Following Is a Correct Decision