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 σ²and the variance equal to σ²/n.

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The central limit theorem states that 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 the population mean (μ) and the variance equal to the population variance (σ^2) divided by n.

The Central Limit Theorem States That for a Sufficiently Large