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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 as an inference.
a. In repeated sampling, the population parameter would fall in the given interval 95% of the time.
b. In repeated sampling, 95% of the intervals constructed would contain the population mean.
c. 95% of the observations in the entire population fall in the given interval
d. 95% of the observations in the sample fall in the given interval"

Answer :

JeanaShupp

Answer:  In repeated sampling, 95% of the intervals constructed would contain the population mean.

Step-by-step explanation:

Given : A 95% confidence interval for µ turns out to be (1,000 ,  2,100).

A 95% confidence interval gives a range of values that we can be 95% particularly having the exact mean of the population.

When we take repeated samples and the 95% confidence interval was computed for each and every sample, then 95% of the intervals would contain the population mean.

Hence, the correct answer is "In repeated sampling, 95% of the intervals constructed would contain the population mean. "

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