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 σ² and the variance equal to σ^2/ⁿ.

Question

Quizplus · Accepted Answer

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 σ²/n, where σ² is the population variance.

The Central Limit Theorem States That for a Sufficiently Large