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The pdf for the F distribution is

where Γ( · ) is the Gamma function.
The F distribution has a natural relationship with the chi-square distribution. If χ1 and χ2 are both chi-square with ν1 and ν2 degrees of freedom respectively, then the statistic F below is F-distributed.

The two parameters, ν1 and ν2, are the numerator and denominator degrees of freedom. That is, ν1 and ν2 are the number of independent pieces of information used to calculate χ1 and χ2, respectively.
The most common application of the F distribution is in standard tests of hypotheses in analysis of variance and regression.
The plot shows that the F distribution exists on the positive real numbers and is skewed to the right.
x = 0:0.01:10; y = fpdf(x,5,3); plot(x,y)

Continuous Distributions (Statistics)
![]() | Extreme Value Distribution | Gamma Distribution | ![]() |

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