Question: The central limit theorem states that when the sample size is large, approximately 95% of the sample means of same-size samples taken from a population

The central limit theorem states that when the sample size is large, approximately 95% of the sample means of same-size samples taken from a population will fall within +1.96 standard errors of the population mean, that is, y = 1.96 (0/vn)

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