Bayes' Formula and Independence * Lecture 6/12
Really now. Bayes' Formula Consider the problem of testing the emissions from a motor vehicle. In a certain state, 25% of all cars emit excessive amounts of pollutants. Iff the probability is 0.99 that a car emitting excessive amounts of pollutants will fail the state's vehicular emissions test, and the probability is 0.17 that a car not emitting excessive amounts of pollutants will nevertheless fail the test, what is the probability that a car that fails the test actually emits excessive amounts of pollutants? Calculate P(B6|A). (Make a tree diagram) The above can be generalized into: ![]()
Independence If I roll a die and then select a card from an ordinary deck of cards, you would probably believe that the outcome of rolling the die does not influence the selection of a card, that is, these actions happen independent of each other. How do we describe this idea of independence using the laws of probability?
|