Total Probability Theorem โ€“ Definition and Examples

Here you will learn law of total probability theorem with examples. Letโ€™s begin โ€“ Total Probability Theorem (Law of Total Probability) Let an event A of an experiment occurs with its n mutually exclusive and exhaustive events \(B_1,B_2,B_3โ€ฆ.B_n\) then total probability of occurrence of event A is P(A) = \(P(AB_1)\) + \(P(AB_2)\) +โ€ฆโ€ฆ..+ \(P(AB_n)\) P(A) โ€ฆ

Total Probability Theorem โ€“ Definition and Examples Read More ยป