Suppose a 95% confidence interval for $\mu$ 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 our sampling and estimation process many times, in 95% of those iterations we would expect the true population parameter to lie within the estimated confidence interval. It does not mean that a specific proportion of the population falls within the interval, nor does it relate directly to the sample itself.

Suppose a 95% Confidence Interval For μ\muμ Turns Out to Be (1,000,2,100)

Suppose a 95% Confidence Interval For $\mu$ Turns Out to Be (1,000,2,100)