An independent samples t-test that fails to reach statistical consequence 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

When an independent samples t-test fails to reach statistical significance, it means there is not enough evidence to conclude that there is a significant difference between the groups being compared. This does not prove or disprove the hypothesis; it simply indicates insufficient evidence to support a difference.

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