Lecture8__8211_Chapter2

# Lecture8__8211_Chapter2 - Lecture 8 Chapter 2 Wednesday...

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Lecture 8 – Chapter 2 Wednesday, September 17 th

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Probability ± Until now we have learn how to assign probabilities on sets that are consisted of simple events without assuming that we know anything regarding the environment that might affect the probability.
Conditional Probability ± Conditional Probability is the probability than an event will occur when we know some facts that have already happen. ± Example: ² I have a class of 100 students: ± What is the probability that student A has failed the class? ± What is the probability that student A has failed the class given that 15 students have failed the class? ± What is the probability that student A has failed the class given that all the students have failed the class?

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Notation ± Conditional Probability of A given that the event B has occurred: ( ) / P AB
Example ± Let say that I have 100 CDs from each of the two brands CDMaker and MakingCD ± Let say that 5 of the CDs from CDMaker are defective and 10 of the CDs from MakingCD are defective.

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Lecture8__8211_Chapter2 - Lecture 8 Chapter 2 Wednesday...

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