Chapter 4: Q88E (page 262)
Find a value of the standard normal random variable z, call it such that
Chapter 4: Q88E (page 262)
Find a value of the standard normal random variable z, call it such that
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Get started for freeHotel guest satisfaction. Refer to the 2015 North American Hotel Guest Satisfaction Index Study, Exercise 4.49 (p. 239). You determined that the probability that a hotel guest was delighted with his or her stay and would recommend the hotel is .12. Suppose a large hotel chain randomly samples 200 of its guests. The chain’s national director claims that more than 50 of these guests were delighted with their stay and would recommend the hotel.
a. Under what scenario is the claim likely to be false?
b. Under what scenario is the claim likely to be true?
Suppose x is a binomial random variable with p = .4 and n = 25.
a. Would it be appropriate to approximate the probability distribution of x with a normal distribution? Explain.
b. Assuming that a normal distribution provides an adequate approximation to the distribution of x, what are the mean and variance of the approximating normal distribution?
c. Use Table I in Appendix D to find the exact value of .
d. Use the normal approximation to find .
If x is a binomial random variable, use Table I in Appendix D to find the following probabilities:
a.for n = 10, p = .4
b.for n = 15, p = .6
c.for n = 5, p = .1
d.for n = 25, p = .7
e.for n = 15, p = .9
f.for n = 20, p = .2
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’s Association).
a. Find the probability that xis greater than 2 milligramsper liter.
b. Find the probability that xis less than 5 milligrams perliter.
4.133 Suppose xis a random variable best described by a uniform
probability distribution with c= 20 and d= 45.
a. Find f(x)
b. Find the mean and standard deviation of x.
c. Graph f (x) and locate and the interval onthe graph. Note that the probability that xassumes avalue within the interval is equal to 1.
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