False. The confidence interval is for the probability that the interval captures the population mean. This was usually obtained by taking a number of samples and using their means and standard deviation in order to generate the confidence interval around the mean of sample means that captures 95% of the data. If the population mean is not equal to the mean of sample means, this would NOT capture 95% of the population.
Fred.J. G.
asked 10/11/22A statement that “the 95% confidence interval for the population mean is (275, 325)" means that 95% of the population values are between 275 and 325. Is this true/false? & Why?
I think the statement is false but I am not sure so I can't come up with a reason/rationale. Thank you
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Fred.J. G.
Thank you so very much Sir! I appreciate this knowledge.10/11/22