Variance: Difference between revisions

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Since the square root of the variance is the standard deviation, if we have a simple notation for the standard deviation, such as <math>\sigma</math>, then we can denote the variance as <math>\sigma^2</math>.
Since the square root of the variance is the standard deviation, if we have a simple notation for the standard deviation, such as <math>\sigma</math>, then we can denote the variance as <math>\sigma^2</math>.
==Questions/things to explain==
* vector space interpretation [https://math.stackexchange.com/a/3071375/35525] see also the beginning of [https://web.math.princeton.edu/~nelson/books/rept.pdf]


[[Category:Probability]]
[[Category:Probability]]

Revision as of 03:52, 16 January 2019

The variance of a random variable X is defined as Var(X):=E[(XEX)2], where EX is the expectation of X.

Notation

Since the square root of the variance is the standard deviation, if we have a simple notation for the standard deviation, such as σ, then we can denote the variance as σ2.

Questions/things to explain

  • vector space interpretation [1] see also the beginning of [2]