Normal Distribution: Difference between revisions
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f(x) {{=}} (<sup>1</sup>⁄<sub>σ | f(''x'') {{=}} (<sup>1</sup>⁄<sub>σ {{math|{{radical|2π}}}}</sub>) ''e''<sup>-<sup>(x-µ)²</sup>⁄<sub>2σ²</sub></sup> | ||
</big></big> | </big></big> | ||
Revision as of 15:22, 3 August 2013
The normal distribution is
f(x) = (1⁄σ √2π) e-(x-µ)²⁄2σ²
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.
