The central limit theorem refers to the phenomenon that the mean of a large number of samples will have the same mean as the population.

Question

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The central limit theorem states that as the sample size increases, the sampling distribution of the mean approaches a normal distribution with a mean equal to the population mean and a standard deviation equal to the population standard deviation divided by the square root of the sample size. This means that the mean of a large number of samples will have the same mean as the population.

The Central Limit Theorem Refers to the Phenomenon That the Mean