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Unformatted text preview: Spring 2003 Math 218 Final Examination
L. Goldstein, L. Goukasian. F. Lin= S. Lototsky. X. Martin. R. Mikulevicius.
J. Smith, K. Styrkas. E. Verona. Z. Vorel Problem 1. A firm that assembles personal computers buys its chips from two suppliers. S] and 82. After
testing the chips. they ﬁnd that 7% of the chips supplied are defective. Moreover. they find that 45% of
the defective chips and "10% of the effective chips are supplied by SI. The remainder is supplied by 82. We
would like to know separately the percentage of 81’s chips that are defective and the percentage of 82‘s chips
that are defective. Let A denote the event that a randomly chosen chip is defective and B the event that a
randomly chosen chip is supplied by 81. a) Organize the data with a tree diagram and indicate all relevant probabilities.
b) Are A and B independent events? Numerically justify your answer. c) What is the percentage of defective chips among those supplied by 81? What is the percentage of defective
chips among those supplied by SQ? d) Two defective chips are randomly chosen. Find the probability that both are supplied by S1. Problem 2. A vice president of a large biotechnology company is interviewing a candidate for director of
research (which depends on probability and statistics) and asks the following questions. a) rThe DNA molecule contains four types of bases indicated by the letters A. C. G, and T. In how many
ways can three letters be selected with replacement from A. C. G. and T. including order? b) In how many ways can the four letters A, C. G. and T be ranked (e.g.. in order of importance)? c) If three letters are selected at random with replacement from the letters G and T, in how many ways can
exactly two G‘s be chosen without regarding order? d) If three letters are chosen at random without replacement from A. C. G. and T, ﬁnd the probability that the letter C will be chosen. e) If the letters A, C. G and T occur with probabilities 0.31. 0.31, 0.25, and 0.13, respectively. and are
assumed to be independent. find the probability of “ACT” occurring in that order. Problem 3. The Fancy Cookie Factory makes chocolate. pecan, and fruit cookies. Visitors are offered trays
of cookies to taste. Each tray contains 3 chocolate, 5 pecan. and 4 fruit cookies. a) If a visitor picks at random 4 cookies from a full tray, what is the probability that he picks 2 or 3 fruit
cookies? b) Assume that each of 15 visitors takes a full tray and picks at random 4 cookies to taste. Find. in decimal
form, the probability that exactly 6 of the 15 visitors pick 2 or 3 fruit cookies. c) Twentyﬁve percent of the cookies produced at the Fancy Cookie Factory are chocolate cookies. A
restaurant orders 350 cookies without specifying the type. Because of that. the cookies are selected at
random, packed. and shipped. \Vhat is the approximate probability that between 250 and 275 cookies
(inclusive) in this shipment are pecan or fruit cookies? Problem 4. Imperfections in an operating system cause a computer server to crash according to a Poisson
distribution with an average frequency of 2 times per week. a) Find the probability that there will be at least one crale in a disday period. b) The name ofthe distribution of the time interval T between two consecutive crashes is __
with expected value and standard deviation c) Find the probability that the next crash will occur within one day from the previous crash. d) Suppose that the server has been working for 6 days without a crash. Find the probability that the next.
crash will occur during the 7th day. Problem 5. Given the following probability density function for the amount of time X required to fill customer
orders (elapsed time from order entry to receipt by customer in weeks): f(;r) : e .r). for [l < .I‘ < 2
weeks and 0 otherwise. 3) Find b) Find Var(X).
c) Calculate < X < d) If the cost of inquiries about orders or complaints requiring further action is given by the relationship
Cost :2 10X + 2. what is the expected cost you would anticipate given the above distribution of X? Problem 6. W'eights of boxes of 16 fish sticks have a normal distribution with mean 16.2 ounces. and standard
deviation 1 ounce. a) \Vhat is the probability that a box weighs less than 16 ounces?
1)) Ninetyﬁve percent of all boxes weigh more than c ounces. Find c. c) A government inspector will take a random sample of 4 boxes and line the company if the average Weight
in this sample is under the weight claimed on the boxes. If the company is willing to run the risk of being
ﬁned 1% of the time. with what weight should it label its boxes? Problem 7. The number of times a student visits the University bookstore in a onemonth period is a random
variable X with the following probability distribution: .1. 0 1 2 l3
P(X==:r) 0.050.25 0.50 0.20 Assume that the students visit the bookstore independently of one another. a) Find the average number of times one student visits the bookstore in a onemonth period. 1)) Find the standard deviation of the number of times one student visits the bookstore in a onemonth
period. c) Find the exact probability that students Peter1 Paul and Mary will visit the bookstore a total of at least
eight times in a onemonth period. (1) Find the approximate probability that 100 students will visit the bookstore a total of 180 times or fewer
in a one—month period. Problem 8. Assume the assets of the community banks are normally distributed with a standard deviation
0 of 161 million dollars. The American Bankers Association surveyed 110 banks and found their total assets
to be 24.200 million dollars. a) Find the point estimate of n. the mean assets for all community banks. b) Find a 95% conﬁdence interval for n. c) Would the length of a 90% conﬁdence interval be larger or smaller? Explain. d) ‘Nhat sample size is needed to determine n to within :i:10 million dollars with 96% confidence? Problem 9. The reported average price for a gallon of selfisorve regular unleaded gasoline is no more than
$1.75 in the United States: you believe that the ﬁgure is higher. Your random survey of 6 stations produces
the following prices. $1.88 $2.05 $1.68 $1.81 $1.95 $1.77 Assume gasoline prices are normally distributed. a) Formulate the null and alternative hypotheses.
1)) Choose an appmpriarc test. statistic and ﬁnd a rejection rule. at the 1% level of signiﬁcance. e) Determine whether your data provide enough evidence to reject the null hypothesis at the 1% level of
Signiﬁcance. (1) At which of the following levels of signiﬁcance can the null hypothesis be rejected? Circle all that apply: 0.15 0.10 0.05 0.025 0.01 0.005 Problem. 10. 111 a sample of 144 drivers, 78 preferred car A to car B, all factors considered. a.) would you reject Hg : p S 0.5 where p is the proportion of the population preferring car A to car B. in
favor of Ha : p > 0.5. if Q : 0.05 is used for the level of signiﬁcance? 1)) Find the Pvaiue. c) Find the 95% conﬁdence interval for p. ...
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 Summer '06
 Haskell
 Probability

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