Central Limit Theorem

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Definition(s):

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.
Source(s):
NIST SP 800-22 Rev. 1a

Glossary Comments

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Central Limit Theorem

Glossary Comments