Difference between revisions of "Bayes' Theorem"

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Bayes' Theorem is the following:  
 
Bayes' Theorem is the following:  
  
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)}.</cmath>
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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)},</cmath> where <math>P(E_1 | E_2)</math> means the probability of <math>E_1</math> assuming that <math>E_2</math> happened.
  
 
~[[User:Enderramsby|enderramsby]]
 
~[[User:Enderramsby|enderramsby]]

Revision as of 14:21, 13 July 2022

Bayes' Theorem is the following:

Let $E_1$ and $E_2$ be two events. Then \[P(E_1 | E_2) = \dfrac{P(E_2 | E_1) \cdot P(E_1)}{P(E_2)},\] where $P(E_1 | E_2)$ means the probability of $E_1$ assuming that $E_2$ happened.

~enderramsby