When interpreting confidence intervals when there are three or more means,if two or more intervals overlap slightly,we should conclude that
A)we are uncertain about the true population mean difference.
B)the sample means do not differ.
C)the population means differ.
D)the population means definitely do not differ.

Question

Quizplus · Accepted Answer

Overlapping confidence intervals indicate that we cannot be certain about the true population mean difference. It does not necessarily mean that the population means are the same or different, but rather that we cannot make a definitive conclusion based on the current data.

When Interpreting Confidence Intervals When There Are Three or More