If you fail to reject H0 in a one-factor between-subjects analysis of variance, then you conclude that the.
A)variances of each group are equal
B)means differ only because of sampling error
C)variances of each group are not equal
D)means differ by more than sampling error alone

Question

Quizplus · Accepted Answer

When you fail to reject the null hypothesis in a one-factor between-subjects ANOVA, it means that there is no significant difference between the means of the groups being compared. Therefore, any observed differences between the group means are likely due to chance or sampling error. This does not provide evidence for any difference beyond what might be expected due to random variation.

If You Fail to Reject H0 in a One-Factor Between-Subjects