Suppose a 95% confidence interval for μ turns out to be (1,000,2,100).What does it mean to be 95% confident?
A)In repeated sampling,the population parameter would fall in the resulting interval 95% of the time.
B)95% of the observations in the entire population fall in the given interval.
C)95% of the observations in the sample fall in the given interval.
D)None of these choices.

Question

Quizplus · Accepted Answer

Being 95% confident means that if we were to repeat the sampling process many times and calculate 95% confidence intervals for each sample, then approximately 95% of those intervals would contain the true population parameter μ. In other words, we can say that we are 95% sure that the true value of μ falls within the interval (1,000,2,100).

Suppose a 95% Confidence Interval for μ Turns Out to Be