Discrete Random Variable

From Rice Wiki
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...")
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)

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.

Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle p(x) = P(X = x)}

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

Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle F(x) = P(X \leq x)}

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