Difference between revisions of "Normal distribution"

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(adding pics)
(standard normal distribution)
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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]].
 +
 +
If <math>\mu=0</math> and <math>\sigma=1</math>, the distribution is called the ''standard normal distribution'', often denoted by <math>\phi</math>:
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:<math>
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\phi(x) = \frac{1}{\sqrt{2\pi}}
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\exp(-\frac{1}{2} x^2).
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</math>
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[[category:Probability and Statistics]]
 
[[category:Probability and Statistics]]

Revision as of 21:59, December 11, 2008

probability density function
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cumulative probability function
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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 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.

If <math>\mu=0</math> and <math>\sigma=1</math>, the distribution is called the standard normal distribution, often denoted by <math>\phi</math>:

<math>

\phi(x) = \frac{1}{\sqrt{2\pi}} \exp(-\frac{1}{2} x^2). </math>