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PROBABILITY RULES Probability Rules Rule 1: 0 ≤ P(A) < 1 Rule 2: If S is the sample space then P(S) = 1 Rule 3: In the case of equally likely outcomes P( A) Rule 4: Complement number of outcomes corresponding to event A total number of outcomes in sample space P(Ac) = 1 – P(A) Rule 5: Two events A and B are disjoint (also mutually exclusive) DISJOINT EVENTS ARE NEVER INDEPENDENT If they have no common outcomes P(A or B) = P(A) + P(B) called addition rule for disjoint GENERAL ADDITION RULE P(A or B) = P(A) + P(B) – P(A and B) Rule 6: Two events A and B are independent if knowing that one event occurs does not change the probability that the other occurs P(A and B) = P(A)•P(B) called the multiplication rule for Independent events GENERAL MULTIPLICATION RULE P(A and B) = P(A)•P(B│A) B occurs given A occurred Conditional Probability P B l A = THREE INDEPENDENCE “Rules” P(A and B) = P(A)•P(B) and P(A│B) = P(A) P(B│A) = P(B) P A and B P(both events occur ) = PA P given event occurs