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Central Limit Theorem

The central limit theorem states that the sampling distribution of any statistic will be normal or nearly normal, if the sample size is large enough.

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Sampling Distribution of the Sample Mean
Shows how to find the probability of having a certain weight or range of weights based on the distribution when you know the mean weight and standard deviation of a distribution.

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