A scientist decides to accept the null hypothesis when the alternative hypothesis is false. The scientist has made:
A) A Type I error
B) A Type II error
C) A correct decision
D) A sampling error

Question

Quizplus · Accepted Answer

When the null hypothesis is accepted, it means that there is no significant difference between the groups being tested. Therefore, accepting the null hypothesis when the alternative hypothesis is false is a correct decision. It is not a Type I error because the null hypothesis is true, and it is not a Type II error because the alternative hypothesis is false.

A Scientist Decides to Accept the Null Hypothesis When the Alternative