Having calculated a 95% confidence interval for a difference between two means,we may conclude that the odds are 95/100 that the
A)true population mean difference falls in the interval.
B)difference between the sample mean is the same as the difference between the population means.
C)obtained interval contains the true population mean difference.
D)population mean difference is less than 95.

Question

Quizplus · Accepted Answer

A 95% confidence interval means that we are 95% confident that the true population mean falls within the interval. Therefore, option C is the correct explanation. Option A is partially correct but does not fully capture the meaning of a confidence interval. Options B and D are not correct because the difference between sample means may not necessarily be the same as the difference between population means, and the 95% confidence interval does not provide information about the magnitude of the population mean difference.

Having Calculated a 95% Confidence Interval for a Difference Between