🔔 Central Limit Theorem
The central limit theorem states that the sum (or average) of many independent, identically distributed random variables tends toward a normal (Gaussian) distribution as the number of variables grows, regardless of the shape of the original distribution, provided it has finite variance.
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For a fuller technical treatment, see the Algorithms Glossary — C reference on MySimulator.
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