## Total Probability Theorem – Definition & Example

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) …

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