Line 12: Line 12:
 
Probability, Conditional Probability, Bayes Theorem
 
Probability, Conditional Probability, Bayes Theorem
 
Disease example
 
Disease example
 +
 +
 +
  
  
Line 17: Line 20:
 
Starting with the definition of Conditional Probability
 
Starting with the definition of Conditional Probability
 
[[File:Bayes derivation.png|500px|thumbnail]]
 
[[File:Bayes derivation.png|500px|thumbnail]]
 +
Looking at step 1. with the definition of conditional probabilities, it is assumed that P(A) and P(B) are not 0.

Revision as of 11:37, 3 November 2022

Probability : Group 4

Kalpit Patel Rick Jiang Bowen Wang Kyle Arrowood


This is an edit

Probability, Conditional Probability, Bayes Theorem Disease example



Baye's Theorem Derivation: Starting with the definition of Conditional Probability

Bayes derivation.png

Looking at step 1. with the definition of conditional probabilities, it is assumed that P(A) and P(B) are not 0.

Alumni Liaison

Correspondence Chess Grandmaster and Purdue Alumni

Prof. Dan Fleetwood