Difference between revisions of "Normal distribution"

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The '''normal distribution''' is a key distribution in the field of [[probability]]. It is also known as the the Gaussian distribution, after [[mathematician]] [[Carl Friedrich Gauss|Carl Gauss]], and the [[bell curve]].
 
The '''normal distribution''' is a key distribution in the field of [[probability]]. It is also known as the the Gaussian distribution, after [[mathematician]] [[Carl Friedrich Gauss|Carl Gauss]], and the [[bell curve]].
 
The normal [[probability density function]] (PDF) is
 
The normal [[probability density function]] (PDF) is
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where
 
where
 
<math>\mu</math> is the [[mean]] and <math>\sigma^2</math> is the [[variance]].
 
<math>\mu</math> is the [[mean]] and <math>\sigma^2</math> is the [[variance]].
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[[category:Probability and Statistics]]
 
[[category:Probability and Statistics]]

Revision as of 16:24, December 11, 2008

probability density function
px=200
cumulative probability function
px=200

The normal distribution is a key distribution in the field of probability. It is also known as the the Gaussian distribution, after mathematician Carl Gauss, and the bell curve. The normal probability density function (PDF) is

<math>

f(x)=\frac{1}{\sqrt{2\pi\sigma^2}} \exp\left[-\frac{1}{2\sigma^2}\left(x-\mu\right)^2\right] </math> where <math>\mu</math> is the mean and <math>\sigma^2</math> is the variance.