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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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