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

Multiple Choice

Suppose a 95% confidence interval for µ turns out to be (1,000, 2,100) . Give a definition of what it means to be "95% confident" as an inference.

A) 95% of the observations in the entire population fall in the given interval.
B) In repeated sampling, the population parameter would fall in the given interval 95% of the time.
C) 95% of the observations in the sample fall in the given interval.
D) In repeated sampling, 95% of the intervals constructed would contain the population mean.