Gaussian distribution: Difference between revisions
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:<math>P(x) = \frac{1}{\sigma \sqrt{2 \pi}} \exp \left( \frac{-(x -\mu)^2}{2 \sigma ^2} \right)</math> | :<math>P(x) = \frac{1}{\sigma \sqrt{2 \pi}} \exp \left( \frac{-(x -\mu)^2}{2 \sigma ^2} \right)</math> | ||
where <math>\mu</math> is the mean and <math>\sigma^2</math> is the variance. | |||
==See also== | |||
*[[Numbers with a Gaussian distribution]] | |||
==External links== | ==External links== | ||
*[http://mathworld.wolfram.com/NormalDistribution.html MathWorld Normal Distribution] | *[http://mathworld.wolfram.com/NormalDistribution.html MathWorld Normal Distribution] | ||
[[category: mathematics]] | [[category: mathematics]] | ||
Revision as of 13:42, 13 November 2007
The Gaussian distribution (also known as the normal distribution) is given by:
where is the mean and is the variance.
