The F-Distribution

Introduces the F-distribution as a ratio of independent scaled chi-square random variables. Covers the parameters (numerator and denominator degrees of freedom), the mean, and the variance, along with the conditions under which these moments exist.

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Defining the F-Distribution

The F-distribution is a continuous probability distribution that arises as a ratio of two independent scaled chi-square random variables.

If Uχd12U \sim \chi^2_{d_1} and Vχd22V \sim \chi^2_{d_2} are independent, then the random variable

F=U/d1V/d2F = \dfrac{U/d_1}{V/d_2}

follows the F-distribution with d1d_1 and d2d_2 degrees of freedom, written

FF(d1,d2).F \sim F(d_1, d_2).

We call d1d_1 the numerator degrees of freedom and d2d_2 the denominator degrees of freedom. The order matters: F(d1,d2)F(d_1, d_2) is generally not the same distribution as F(d2,d1)F(d_2, d_1).

Since U,V0U, V \geq 0, the F-distribution is supported on x>0x > 0, and its density is right-skewed.

For example, if Uχ42U \sim \chi^2_4 and Vχ92V \sim \chi^2_9 are independent, then

U/4V/9F(4,9).\dfrac{U/4}{V/9} \sim F(4, 9).
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