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http://curvebank.calstatela.edu/gaussdist/gaussdist.htm
The strength of the Gaussian Distribution is that it is often a very good approximation. This assumption is based on the Central Limit Theorem studied in the Calculus. The "CLT" proves that the mean of any data set, with a distribution having both a finite mean and finite variance, tends to be Gaussian. This implies that test scores, height, weight, etc., when graphed will tend to have a "bell" shape, with very few at either the high or low end.
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| Date/Time | Dimensions | User | Comment | |
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| current | 02:57, 16 December 2009 | 118 × 200 (21 KB) | Rdavis (talk | contribs) | http://curvebank.calstatela.edu/gaussdist/gaussdist.htm |
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