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In http://sl-proj-bi-specification.web...pecification/Activities/Glossary/techglos.pdf it says that:... if the sources of uncertainties are numerous, the Gaussian distribution is generally a good approximation.

I don't quite understand why. The Central Limit Theorem (CLT) only says that if we have a sumSofNrandom variables, thenSwill be Gaussian for very largeN. So the CLT does not explain the above. In that case, where does the statement come from?

Best,

Niles.

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# Random uncertainties

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