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

Question

Quizplus · Accepted Answer

Overlapping confidence intervals suggest that we cannot confidently conclude that there is a difference between the population means. We are uncertain about the true difference between the population means.

When Interpreting Confidence Intervals When There Are Three or More