Difference between revisions of "Bayes' Theorem"
Enderramsby (talk | contribs) |
Enderramsby (talk | contribs) |
||
(5 intermediate revisions by the same user not shown) | |||
Line 1: | Line 1: | ||
==Bayes' Theorem:== | ==Bayes' Theorem:== | ||
− | Let <math>E_1</math> and <math>E_2</math> be two events. Then <cmath>P(E_1 | E_2) = \dfrac{P(E_2 | E_1) \cdot P(E_1)}{P(E_2)} | + | Let <math>E_1</math> and <math>E_2</math> be two events, and <math>P(E_1 | E_2)</math> the [[probability]] of <math>E_1</math> dependent on <math>E_2.</math> Then <cmath>P(E_1 | E_2) = \dfrac{P(E_2 | E_1) \cdot P(E_1)}{P(E_2)}.</cmath> |
~[[User:Enderramsby|enderramsby]] | ~[[User:Enderramsby|enderramsby]] | ||
+ | |||
+ | |||
+ | {{stub}} | ||
+ | |||
+ | [[Category:Probability]] |
Latest revision as of 11:32, 2 August 2022
Bayes' Theorem:
Let and be two events, and the probability of dependent on Then
This article is a stub. Help us out by expanding it.