Chapter 4: Q170SE (page 282)
Assume that xis a binomial random variable with n = 100
and p = 5. Use the normal probability distribution to approximate
the following probabilities:
a.
b.
c.
d.
e.
f.
Short Answer
a.
b.
c.
d.
e.
f.
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Chapter 4: Q170SE (page 282)
Assume that xis a binomial random variable with n = 100
and p = 5. Use the normal probability distribution to approximate
the following probabilities:
a.
b.
c.
d.
e.
f.
a.
b.
c.
d.
e.
f.
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4.127 Rankings of research universities. Refer to the CollegeChoice2015 Rankings of National Research Universities,Exercise 2.110 (p. 125). Data on academic reputation scores for the top 50 research universities (saved in the file) are listed in the accompanying table. Would you recommend using the normal distribution to approximate the distribution of academic reputation scores?
99 92 94 95 97 91 91 92 92 89 84 85 100 87 83
83 89 79 94 79 79 87 76 67 76 76 76 70 74 64
74 69 66 72 65 76 64 65 61 69 62 69 52 64 64
47 60 57 63 62
Hospital patient interarrival times. The length of time between arrivals at a hospital clinic has an approximately exponential probability distribution. Suppose the mean time between arrivals for patients at a clinic is 4 minutes.
a. What is the probability that a particular interarrival time (the time between the arrival of two patients) is less than 1 minute?
b. What is the probability that the next four interarrival times are all less than 1 minute?
c. What is the probability that an interarrival time will exceed 10 minutes?
Lead in metal shredder residue. On the basis of data collectedfrom metal shredders across the nation, the amount xof extractable lead in metal shredder residue has an approximateexponential distribution with mean= 2.5 milligramsper liter (Florida Shredder鈥檚 Association).
a. Find the probability that xis greater than 2 milligramsper liter.
b. Find the probability that xis less than 5 milligrams perliter.
Making high-stakes insurance decisions. The Journal of Economic Psychology (September 2008) published the results of a high-stakes experiment in which subjects were asked how much they would pay for insuring a valuable painting. The painting was threatened by fire and theft, hence, the need for insurance. To make the risk realistic, the subjects were informed that if it rained on exactly 24 days in July, the painting was considered to be stolen; if it rained on exactly 23 days in August, the painting was considered to be destroyed by fire. Although the probability of these two events, 鈥渇ire鈥 and 鈥渢heft,鈥 was ambiguous for the subjects, the researchers estimated their probabilities of occurrence at .0001. Rain frequencies for the months of July and August were shown to follow a Poisson distribution with a mean of 10 days per month.
a. Find the probability that it will rain on exactly 24 days in July.
b. Find the probability that it will rain on exactly 23 days in August.
c. Are the probabilities, parts a and b, good approximations to the probabilities of 鈥渇ire鈥 and 鈥渢heft鈥?
Suppose the random variable x is best described by a normal distribution with and . Find the z-score that corresponds to each of the following x values:
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