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Additional problems for the stat101: spring 2012 midterm 2 exam, focusing on probability theory and defective items in a production line. The problems include calculating the probability of certain events based on given conditions and identifying the appropriate distribution for predicting the number of defective items.
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STAT101: Spring 2012 More Mideterm 2 Review Problems Brian Powers TA Here's a few more problems โ these may be a little more challenging but they will help prepare for the exam.
STAT101: Spring 2012 More Mideterm 2 Review Problems Brian Powers TA Here's a few more problems โ these may be a little more challenging but they will help prepare for the exam.
โ.1667 (^) and P ๎ B โฃ A ๎=
but P(A) is unknown. What do we know about P(A)? We can re-write the probability of A as the probability of A and B plus the probability of A and NOT B: P ๎ A ๎= P ๎ A โฉ B ๎๎ P ๎ A โฉ B C ๎=.10๎ P ๎ A โฉ B C ๎ Because P ๎^ B ๎=.60^ , P ๎ BC^ ๎=.40 , so we know that P ๎^ A ๎โค.10๎. Thus: P ๎^ A ๎โค.50^ so
โฅ (^2) , and
Basically, we know that because P(A) is no bigger than .5, P(B|A) must be larger than. Therefore, we can say with certainty that P(B|A) > P(A|B)
You can see that the probability of item #3 being defective is the same โ you will take the product of the exact same numbers. That is also true up through item #49 being defective The exception is if item #50 is the defective item. In this case the probability is .999^48 โ .001โ. So by adding up all of these probabilities we have: P ๎ 1 out of 50 is defective ๎= 48 ร.0000477๎.000953โ.