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Unformatted text preview: c ) = P(A does not occur) – Called the complement of A • P(AB) = P(A occurs given that B has already occurred) Called a conditional probability 1 N i i x N μ = = 1 n i i x x n = = 2 2 1 ( ) 1 n i i x x s n ==• Complement Rule P(A) + P(A c ) = 1 P(A) = 1 – P(A c ) • Addition Rule: P(A ∪ B) = P(A) + P(B) – P(A ∩ B) If A and B are mutually exclusive, then P(A ∩ B) = 0. So P(A ∪ B) = P(A) + P(B) for two mutually exclusive events. • Conditional Probability: • Multiplication Rule: P(A ∩ B) = P(A)*P(BA) = P(B)*P(AB) If A and B are independent events, then P(A ∩ B) = P(A)*P(B)...
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 Spring '08
 CathyDavis
 Statistics, Conditional Probability, Empirical Rule, Standard Deviation, Variance, standard deviations, mutually exclusive events, empirical rule states

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