| 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 10:37, 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
Looking at step 1. with the definition of conditional probabilities, it is assumed that P(A) and P(B) are not 0.
