How could the central limit theorem be used to gauge the probable size of the error of the estimate of the previous problem? Denoting the estimate by Â, if A = .2, how large should n be so that P(Â - A| < .01) z ,99?

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How could the central limit theorem be used to gauge the
probable size of the error of the estimate of the previous problem?
Denoting the estimate by Â, if A = .2, how large should n be so that
P(Â - A| <.01)= ,99?
Transcribed Image Text:How could the central limit theorem be used to gauge the probable size of the error of the estimate of the previous problem? Denoting the estimate by Â, if A = .2, how large should n be so that P(Â - A| <.01)= ,99?
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