When interpreting confidence intervals when there are three or more means,if the intervals do not overlap,we have evidence that
A) the differences among population means are inconclusive.
B) the population means differ.
C) the range of values for each interval is extreme.
D) the sample means do not differ.

Question

Quizplus · Accepted Answer

If the confidence intervals for three or more means do not overlap, this indicates that the population means are likely different from each other. This means that we have evidence to suggest that there are significant differences among the populations from which the samples were drawn. Therefore, choice B is the best answer. Choices A, C, and D are incorrect because they either suggest inconclusive results, extreme ranges, or a lack of differences among the sample means, which does not reflect the interpretation of non-overlapping confidence intervals.

When Interpreting Confidence Intervals When There Are Three or More