Probability theory: Difference between revisions

Revision as of 21:05, 2 January 2025

Revision as of 02:38, 15 January 2025

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{{Main|Discrete probability distribution}}

[[File:NYW-DK-Poisson(5).svg|thumb|300px|The [[Poisson distribution]], is a discrete probability distribution.]]

{{em|Discrete probability theory}} deals with events that occur in [[countable]] sample spaces.

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So, the probability of the entire sample space is 1, and the probability of the null event is 0.

The function <math>f(x)\,</math> mapping a point in the sample space to the "probability" value is called a {{em|probability mass function}} abbreviated as {{em|pmf}}.

===Continuous probability distributions===