*According to Pierre-Simon LaPlace, the central limit theorem states, “Consider a random sample of n observations selected from a population (any probability distribution) with mean µ and standard deviation image. The larger the sample size, the better will be the normal approximation to the sampling distribution of image (sample mean).”

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