Suppose the difference between a sample mean and the null hypothesis mean was not in the rejection region of the sampling distribution. This means that the difference is A) probably the result of mistakes B) too large to be expected from a population with the null hypothesis mean C) reasonable, if the null hypothesis is true D) significant.

Question

Quizplus · Accepted Answer

When the difference between a sample mean and the null hypothesis mean is not in the rejection region, it suggests that the observed difference could reasonably occur by chance if the null hypothesis were true, indicating no significant evidence against the null hypothesis.

Suppose the Difference Between a Sample Mean and the Null