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Multiplication Theorem on Probability.

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Let E and F be two events associated with a sample space S, then the set E ∩ F denotes the happening of two events E and F.

Example:

In the test of drawing second card after one, we can find probability of compound events a king and a queen. To find probability of event EF use conditional probability which is denoted by P(E/F) and is written as :

Probability

or P(E ∩ F) = P(F) - P(E/F) ...(i)

Similarly if event E is given then probability of F with condition is expressed as P \((\frac{F}{E})\) and can be written as:

 P \((\frac{F}{E}) = \frac{P(E\ \cap \ F)}{P(E)}\) 

Joining two conditions (i) and (ii)

P(E ∩ F) = P(F).P \((\frac{F}{E})\) = P(E).P \((\frac{F}{E})\)

whereas P(E) ≠ 0 and P(F) ≠ 0

Above result is known as multiplication law of probability.

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