When interpreting confidence intervals when there are three or more means,if the intervals overlap such that the sample mean of one group lies within the interval of another group,we may conclude that
A) the sample means are the same.
B) the population means do not differ.
C) the population means for the groups differ.
D) the population mean for another group will be different.

Question

Quizplus · Accepted Answer

Overlapping confidence intervals suggest that there is not a statistically significant difference between the population means, as the data does not provide strong evidence that the means differ. This does not guarantee the means are the same, but it indicates that we cannot confidently assert differences based on the sample data.

When Interpreting Confidence Intervals When There Are Three or More