When we construct a 95% confidence interval,we are 95% sure that the
A)sample mean difference falls within the interval.
B)population mean difference falls within the interval.
C)population mean difference is at the center of the interval.
D)sample mean difference is at the center of the interval.

Question

Quizplus · Accepted Answer

A 95% confidence interval means that we are 95% confident that the true population parameter (in this case, the mean difference) falls within the interval. It does not guarantee that the sample mean difference or the population mean difference is at the center of the interval, only that there is a high probability that the interval contains the true population parameter.

When We Construct a 95% Confidence Interval,we Are 95% Sure