Probability theory: Difference between revisions

Revision as of 18:39, 10 November 2023

Revision as of 23:37, 8 December 2023

Line 54:

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}}. The modern definition does not try to answer how probability mass functions are obtained; instead, it builds a theory that assumes their existence{{citation needed|date=December 2015}}.

===Continuous probability distributions===