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Michael Corral: Vector Calculus

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3.7 Application: Probability and Expected Value 131<br />

In addition to individual random variables, we can consider jointly distributed randomvariables.<br />

Forthis,wewilllet X,Y andZ bethreereal-valuedcontinuousrandom<br />

variables defined on the same sample spaceΩin(the discussion for two random<br />

variables is similar). Then the joint distribution function F of X, Y and Z is given by<br />

F(x,y,z)=P(X≤x, Y≤ y, Z≤ z), for−∞< x,y,z

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