Which of the following is true?
A) When the p-value is less than 0.05 for an independent samples t test, the 95% confidence interval of the difference between groups will cross zero.
B) When the p-value is less than 0.05 for a one-sample t test, it means that the assumptions of the test have been met.
C) When the p-value is larger than 0.05 for any test, it means that the effect size is zero.
D) When the p value is larger than 0.05 for an independent samples t test, it means that there are no significant differences between groups at the level of alpha = .05.

Question

Quizplus · Accepted Answer

A p-value larger than 0.05 for an independent samples t test means that there is not enough evidence to reject the null hypothesis of no significant differences between groups at the level of alpha = 0.05. It does not necessarily mean that there are no differences, only that they were not significant at the chosen level of alpha. The other options are not true statements.

Which of the Following Is True