Central Limit Theorem

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Definitions:

For a random sample of size n from a population with meanm and variance s2, the distribution of the sample means is approximately normal with mean m and variance s2/n as the sample size increases.
Sources:
NIST SP 800-22 Rev. 1a

Glossary Comments

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