Normal Distribution: Difference between revisions
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[[File:Standard Normal PDF.png|thumb|PDF]] | [[File:Standard Normal PDF.png|thumb|PDF]] | ||
[[File:Half Normal Distribution.png|thumb|500px|Half Normal Distribution Equations]] | |||
Revision as of 16:36, 8 August 2013
The normal distribution is
f(x) = (1⁄σ √2π) e-(x-µ) ²⁄2σ ²
- The parameter μ in this formula is the mean or expectation of the distribution (and also its median and mode).
- The parameter σ is its standard deviation; its variance is therefore σ' 2. A random variable with a Gaussian distribution is said to be normally distributed and is called a normal deviate.