Tuesday, March 3, 2009

The Central Limit Theorem

The central limit theorem states that if a large enough random sample is drawn from a population then the sampling distribution will be normal.

This could be paraphrased as "All sampling distributions become normal distributions when the sample is large enough" and large enough is generally considered to be 20-30 units.

Sketch of the Normal Distribution

The normal distribution is everywhere in nature.

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