When we get a p-value that is very large, we may conclude that:
A) the null hypothesis has been proved to be true.
B) there is strong evidence for the alternative hypothesis.
C) the null hypothesis may not be overturned.
D) the alternative hypothesis has been proved to be false.

Question

Quizplus · Accepted Answer

A large p-value indicates that there is not enough evidence to reject the null hypothesis. Therefore, we cannot conclude that the alternative hypothesis is true. However, we also cannot prove that the null hypothesis is true. This means that the null hypothesis may not be overturned and should be retained as the working hypothesis until more evidence is gathered.

When We Get a P-Value That Is Very Large, We