In ANOVA analysis, when the null hypothesis is rejected, we can test for differences between treatment means by
A) constructing confidence intervals.
B) adding another treatment.
C) doing an additional ANOVA.
D) doing a t test.

Question

Quizplus · Accepted Answer

When the null hypothesis is rejected in ANOVA analysis, we can test for differences between treatment means by constructing confidence intervals. The confidence intervals will give us an idea of the range of values within which the true population mean is likely to fall. If the confidence intervals of two treatment groups do not overlap, we can say with confidence that the means of those groups are significantly different from each other. Therefore, constructing confidence intervals is the best choice in this scenario.

In ANOVA Analysis, When the Null Hypothesis Is Rejected, We