Lecture 4

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Unformatted text preview: on of the random variable. Discrete versus Con4nuous •  Discrete: finite (or countably infinite) set of possible outcomes. •  Con4nuous: the random variable takes values in a con4nuum. (Usually, this is a theore4cal approxima4on.) Probability Mass Func4on (for discrete variable only!) •  p(x) = P{X = x} •  F(x) = P{X less than or equal to x} –  Sum of p(x’) for x’ up to x. –  If p(x) sums to 1, and all elements are posi4ve, then it is the probability mass func4on of a random variable… E...
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This document was uploaded on 03/02/2014 for the course STATS 4150 at Barnard College.

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