Total Probability Theorem – Definition and Examples

Here you will learn law of total probability theorem with examples. Let’s begin – Total Probability Theorem (Law of Total Probability) Let an event A of an experiment occurs with its n mutually exclusive and exhaustive events $$B_1,B_2,B_3….B_n$$ then total probability of occurrence of event A is P(A) = $$P(AB_1)$$ + $$P(AB_2)$$ +……..+ $$P(AB_n)$$ P(A) …