Transcription of Section 8.2 Conditional Probability and Bayes Theorem
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Section 8.2 Conditional Probability and Bayes Theorem
Conditional Probability and Bayes Theorem 275 This chapter is part of Business Precalculus David Lippman 2016. This content is remixed from Math in Society 2013 Lippman, Eldridge, This material is licensed under a Creative Commons CC-BY-SA license. Section Conditional Probability and Bayes Theorem Often it is required to compute the Probability of an event given that another event has occurred. We call that Conditional Probability . Conditional Probability The Probability the event B occurs, given that event A has happened, is represented as P(B | A) This is read as the Probability of B given A Example 1 What is the Probability that two cards drawn at random from a deck of playing cards will both be aces?
occurred. We call that conditional probability. Conditional Probability The probability the event B occurs, given that event A has happened, is represented as P(B | A) This is read as “the probability of B given A” Example 1 What is the probability that two cards drawn at random from a deck of playing cards will both be aces?
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