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The Central Limit Theorem States That for a Sufficiently Large σ\sigma

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The Central Limit Theorem states that for a sufficiently large sample the sampling distribution of the means of all possible samples of size n generated from the population will be approximately normally distributed with the mean of the sampling distribution equal to µ and the variance equal to σ\sigma 2/n.

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