General Probability Rules

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Presentation transcript:

General Probability Rules Section 6.3

Union In any collection of events, at least one of the events occur

General Addition Rule for Unions of Two Events P(A or B) = P(A) + P(B) – P(A and B) P(A U B) = P(A) + P(B) – P(A n B)

Joint Event Simultaneous occurrence of two events The probability of a joint event is called joint probability

General Multiplication Rule The probability that both of two events A and B happen together can be found by P(A and B) = P(A)P(B|A) Here P(B|A) is the conditional probability that B occurs given the information that A occurs.

Conditional Probability Gives the probability of one event under the condition that we know another event. P(A|B)

Definition of Conditional Probability When P(A) > 0, the conditional probability of B given A is P(B|A) = P(A and B)/P(A)

Intersection The intersection of any collection of events is the event that all of the events occur

Independent Events Two events A and B that both have positive probability are independent if P(B|A) = P(B)

Practice Problems pg. 379 #6.66-6.77