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CENTRAL LIMIT THEOREM (CLT) STATES: Drawing repeated samples of size n from any distribution with standard deviation, α , and mean, U, will result in a sampling distribution of X-bar. The sampling distribution of X-bar will be approximately normally distributed with mean = to U and a standard deviation = to α / √n. The CLT is the basis for the statistical determination of sample size (confidence interval estimate): Sample size n = α2Z2/e2 Where: e= amount of tolerated error α =standard deviation(estimate) Z=std. Norm. variate-conf. Intv