Wikipedia 10K Redux by Reagle from Starling archive. Bugs abound!!!

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Statistical_Independence

back to [[Statistics/Assumptions]]

When we assert that two or more [[Random Variables]] are independent, we imply that probabilities of compound events involving these variables can be calculated by simply multiplying the probabilities of the individual events. This is expressed in many ways. The most general statement is:

*Pr[(X in A) & (Y in B)] = Pr[X in A]*Pr[Y in B] for A and B subsets of the independent sample spaces for X and Y.

In terms of joint and marginal probability densities, we find:

*fXY(x,y)dx dy = fX(x)dx fY(y)dy where f represents a density and the indices on  f indicate the random variable.
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[[Dick Beldin]]