An independent samples t-test that fails to reach statistical significance indicates that:
A) the hypothesis has been proven true.
B) the hypothesis has been proven false.
C) there is not enough evidence to prove that the groups are significantly different.
D) the opposite of the hypothesis has been proven true.

Question

Quizplus · Accepted Answer

A t-test failing to reach statistical significance means that we cannot reject the null hypothesis, and therefore cannot conclude that the groups are significantly different. It does not mean that the hypothesis has been proven true or false, nor does it support the opposite of the hypothesis being true.

An Independent Samples T-Test That Fails to Reach Statistical Significance