Discrete Random Variable

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Revision as of 06:22, 19 March 2024 by Admin (talk | contribs) (Created page with "Category:Statistics A random variable is '''discrete''' if the values it can take on within an interval is ''finite''. = PMF and CDF = The '''probability mass function (PMF)''' describes the probability distribution over a discrete random variable. <math>p(x) = P(X = x)</math> The '''cumulative distribution function (CDF)''' specifies the probability of an observation being equal to or less than a given value. <math>F(x) = P(X \leq x)</math> We usually have tabl...")
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A random variable is discrete if the values it can take on within an interval is finite.

PMF and CDF

The probability mass function (PMF) describes the probability distribution over a discrete random variable.

The cumulative distribution function (CDF) specifies the probability of an observation being equal to or less than a given value.

We usually have tables for these in the case of discrete random variables.