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FM Dept Review Part 2 - Faculty Web Pages

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Lial 9 th Edition<br />

<strong>FM</strong> <strong>Dept</strong> <strong>Review</strong> P2 F09<br />

20. A bicycle factory runs two assembly lines, A and B. 97% of line A’s products pass inspection and 94% of<br />

line B’s products pass inspection. 50% of the factory’s bikes come off assembly line B and the rest come<br />

off line A. Find the probability that one of the factory’s bikes did not pass inspection and came off assembly<br />

line B. Write your answer as a decimal. 7.5.41<br />

21. In 2002, 66.5% of men and 50.1% of women in a country were overweight. Given that 48.6% of adults are<br />

men and 51.4% are women, find the probability that a randomly selected adult fits the following<br />

descriptions. 7.5.61<br />

a. An overweight man<br />

b. Overweight<br />

c. Are the events that an adult is a man and that an adult is overweight independent? Explain.<br />

22. If it snows tomorrow, the probability is 0.7 that John will practice his trombone. If it does not snow<br />

tomorrow, there is only a 0.5 chance that John will practice. Suppose the chance of snow tomorrow is 50%.<br />

What is the probability that John will practice his trombone? 7.5.71<br />

23. Suppose 25% of the population is 63 or over, 27% of those 63 or over have loans, and 54% of those<br />

under 63 have loans. Find the probabilities that a person fits into the following categories. Write your<br />

answers as a decimal rounded to three decimal places. 7.5.77<br />

a. The probability that a person is 63 or over and has a loan is ____________________.<br />

b. The probability that a person has a loan is ____________________.<br />

On problems 24 – 27, make sure to show your tree diagram.<br />

24. Suppose you have 3 jars with the following contents. Jar 1 has 1 white ball and 2 black balls. Jar 2 has 4<br />

white balls and 1 black ball. Jar 3 has 1 white ball and 2 black balls. One jar is to be selected and then 1<br />

ball is to be drawn from the selected jar. The probability of selecting the first, second, and third jars are 1/3,<br />

1/2 , and 1/6 respectively. Find the probability the ball was drawn from Jar 2 given that the ball was white.<br />

Write your answer as a simplified fraction. 7.6.7<br />

25. Of all the people applying for a certain job, 90% are qualified and 10% are not. The personnel manager<br />

claims that she approves qualified people 90% of the time; she approves unqualified people 20% of the<br />

time. Find the probability that a person is qualified if he or she was not approved by the manager. Write<br />

your answer as a decimal rounded to 3 decimal places if necessary. 7.6.11<br />

26. A manufacturer obtains clock-radios from three different subcontractors: 40% from A, 10% from B, and<br />

50% from C. The defective rates for these subcontractors are 1%, 4%, and 4% respectively. If a defective<br />

clock-radio is returned by a customer, what is the probability that is came from: 7.6.21<br />

a. subcontractor A? Round your decimal answer to three places, if necessary.<br />

b. subcontractor B? Round your decimal answer to three places, if necessary.<br />

c. subcontractor C? Round your decimal answer to three places, if necessary.<br />

27. A new lie-detector test has been devised and must be tested before it is put into use. Three hundred<br />

people are selected at random, and each person draws and keeps a card from a box of 300 cards. Half the<br />

cards instruct the person to lie and the others instruct the person to tell the truth. Of those who lied, 80%<br />

fail the new lie-detector test (that is the test indicated lying). Of those who told the truth, 4% failed the test.<br />

7.6.29<br />

a. What is the probability that a randomly chosen subject will have lied given that the subject failed the test.<br />

Round your answer to 4 decimal places as necessary.<br />

b. What is the probability that the subject will not have lied given that the subject failed the test? Round your<br />

answer to 4 decimal places as necessary.<br />

28. A man has 8 shirts and 4 ties. How many different shirt and tie arrangements can he wear? 8.1.15<br />

3

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