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3 Example Class 2

# 3 Example Class 2 - THE UNIVERSITY OF HONG KONG DEPARTMENT...

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DEPARTMENT OF STATISTICS AND ACTUARIAL SCIENCE STAT1301 PROBABILITY AND STATISTICS I EXAMPLE CLASS 2 Review Deﬁnition of conditional probability For any two events A and B , the conditional probability of A given the occurrence of B is written as P ( A | B ) and is deﬁned as P ( A | B ) = P ( A B ) P ( B ) provided that P ( B ) > 0. Multiplication theorem (a) For any two events A and B with P ( B ) > 0, P ( A B ) = P ( B ) P ( A | B ) . (b) For any three events A,B,C with P ( B C ) > 0, P ( A B C ) = P ( C ) P ( B | C ) P ( A | B C ) . Independence (a) Two events A and B are called independent if and only if P ( A B ) = P ( A ) P ( B ) . If P ( A ) > 0,then A and B are independent iﬀ P ( B | A ) = P ( B ). (b) The events A 1 ,A 2 , · · · ,A k are (mutually) independent if and only if the probability of the intersection of any combination of them is equal to the product of the probabilities of the corresponding single events. For example, A 1 ,A 2 ,A 3 are independent if and only if P ( A 1 A 2 ) = P ( A 1 ) P ( A 2 ) P ( A 1 A 3 ) = P ( A 1 ) P ( A 3 ) P ( A 2 A 3 ) = P ( A 2 ) P ( A 3 ) P ( A 1 A 2 A 3 ) = P ( A

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3 Example Class 2 - THE UNIVERSITY OF HONG KONG DEPARTMENT...

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