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

Question 54

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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" in 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.

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