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 $\sigma$²and the variance equal to $\sigma$^2/ⁿ.

Question

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The Central Limit Theorem states that the sampling distribution of the sample mean will be approximately normally distributed with the mean equal to the population mean (μ) and the variance equal to the population variance (σ²) divided by the sample size (n).

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

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