Joint Probability Distribution

Introduction to Joint Probability Distribution

Joint probability distribution is a technique used in probability theory to represent the probability of events A and B occurring together. In this formula, P(B|A) represents the conditional probability of event B given event A, P(AB) is the probability of both events A and B occurring, and P(A) is the probability of event A occurring.

Parameter usage:

• pA = probability of event A
• pB = probability of event B
• pAB = probability of both events A and B occurring

Output:

• P(B|A) = conditional probability of event B given event A

Data validation

The probabilities should be between 0 and 1.

Summary

This formula calculates the conditional probability of event B given event A using the probabilities of both events occurring together and the probability of event A occurring.