Difference between revisions of "Variance"
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| − | In probability theory and statistics, the variance is used as a measure of how far a set of numbers are spread out from each other. It is one of several descriptors of a probability distribution, describing how far the numbers lie from the mean (expected value). In particular, the variance is one of the moments of a distribution | + | In probability theory and statistics, the ''variance'' is used as a measure of how far a set of numbers are spread out from each other. It is one of several descriptors of a probability distribution, describing how far the numbers lie from the mean (expected value). In particular, the variance is one of the moments of a distribution. |
<math>{Var}(X) = {E}[(X - \mu)^2]</math> | <math>{Var}(X) = {E}[(X - \mu)^2]</math> | ||
| − | [[Category: | + | [[Category:mbi]] |
Revision as of 18:46, 26 August 2020
In probability theory and statistics, the variance is used as a measure of how far a set of numbers are spread out from each other. It is one of several descriptors of a probability distribution, describing how far the numbers lie from the mean (expected value). In particular, the variance is one of the moments of a distribution.