PSLS.PPT.Ch10

PSLS.PPT.Ch10 - Generalrulesofprobability PSLS chapter 10...

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    General rules of probability PSLS chapter 10 © 2009 W.H. Freeman and Company
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Objectives (BPS chapter 12) General rules of probability Independent events Conditional probability Conditional probabilities in health sciences
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Two events are independent if the probability that one event occurs on any given trial is not affected (changed) by the occurrence of the other event. Grandma’s age and grade on midterm are independent events. This is completely different from the idea of events that are disjoint. Independent events
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If you are sampling from a whole county with hundreds or thousands of frogs , the probability of picking a male the second time is just about the same as the first time successive picks are “nearly independent”. Artificial pond with 10 male and 10 female frogs . Probability of capturing at random a male frog = 0.5. If the first frog was a male and you didn’t put it back in the pond, the probability of picking up another male frog on your second capture is now less than 0.5 (9/19 or 0.47) successive picks are not independent.
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Conditional probability Conditional probabilities reflect how the probability of an event can change if we know that some other event has occurred or is true. The probability that a random student will get an A on the midterm is
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This note was uploaded on 10/07/2011 for the course BSTT 400 taught by Professor Sallyfreels during the Fall '11 term at Ill. Chicago.

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PSLS.PPT.Ch10 - Generalrulesofprobability PSLS chapter 10...

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