Problem 1: Suppose you are sampling from a population with mean p= 1,065 and standard deviation a = 500. The sample size is n=100. What are the expected value and the variance of the sample mean X?

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Homework 3.pdf
Homework 3.pdf ▼
Find he minumum requirea sampre size ror esumaung ine average return on rear estate
investments to within 0.5% per year with 95% confidence. The standard deviation of returns is
believed to be 2% per year.
Problem 8:
Consider the use of metal detectors in airports to test people for concealed weapons. In essence,
this is a form of hypothesis testing.
a) What are the null and alternative hypotheses?
b) What are type I and type II errors in this case?
c) Which type of error is more costly?
d) Based on your answer to part (c), what value of a would you recommend for this test?
e) If the sensitivity of the metal detector is increased, how would the probabilities of type I and
type II errors be affected?
n If a is to be increased, should the sensitivity of the metal detector be increased or decreased?
Problem 9:
The calculated z for a hypothesis test is 1.75. What is the p-value if the test is (a) left-tailed, (h)
right-tailed, and (c) two-tailed?
Problem 10:
A fashion industry analyst wants to prove that models featuring Liz Claiborne clothing earn on
average more than models featuring clothes designed by Calvin Klein. For a given period of
time, a random sample of 32 Liz Claiborne models reveals average earnings of S4,238.00 and a
standard deviation of $1,002.50. For the same period, an independent random sample of 37
Calvin Klein models has mean earnings of $3,888.72 and a sample standard deviation of
$876.05.
a. Is this a one-tailed or a two-tailed test? Explain.
b. Carry out the hypothesis test at the 0.05 level of significance.
c. State your conclusion.
d. What is the p-value? Explain its relevance.
e. Redo the problem, assuming the results are based on a random sample of 10 Liz Claiborne
models and 11 Calvin Klein models.
Problem 11:
A physicians' group is interested in testing to determine whether more people in small towns
choose a physician by word of mouth in comparison with people in large metropolitan areas. A
random sample of 1,00 people in small towns reveals that 850 chose their physicians by word
of mouth; a random sample of 2,500 people living in large metropolitan areas reveals that 1,950
chose a physician by word of mouth. Conduct a one-tailed test aimed at proving that the
percentage of popular recommendation of physicians is larger in small towns than in large
metropolitan areas. Use a = 0.01.
Problem 12:
Compaq Computer Corporation has an assembly plant in Houston, where the company's
Deskpro computer is built. Engineers at the plant are considering a new production facility and
are interested in going online with the new facility if and only if they can be fairly sure that the
variance of the number of computers assembled per day using the new facility is lower than the
production variance of the old system. A random sample of 40 production days using the old
production method gives a sample variance of 1,288; and a random sample of 15 production days
using the proposed new method gives a sample variance of 1,112. Conduct the appropriate test at
a = 0.05.
Transcribed Image Text:13:49 N all 91% Homework 3.pdf Homework 3.pdf ▼ Find he minumum requirea sampre size ror esumaung ine average return on rear estate investments to within 0.5% per year with 95% confidence. The standard deviation of returns is believed to be 2% per year. Problem 8: Consider the use of metal detectors in airports to test people for concealed weapons. In essence, this is a form of hypothesis testing. a) What are the null and alternative hypotheses? b) What are type I and type II errors in this case? c) Which type of error is more costly? d) Based on your answer to part (c), what value of a would you recommend for this test? e) If the sensitivity of the metal detector is increased, how would the probabilities of type I and type II errors be affected? n If a is to be increased, should the sensitivity of the metal detector be increased or decreased? Problem 9: The calculated z for a hypothesis test is 1.75. What is the p-value if the test is (a) left-tailed, (h) right-tailed, and (c) two-tailed? Problem 10: A fashion industry analyst wants to prove that models featuring Liz Claiborne clothing earn on average more than models featuring clothes designed by Calvin Klein. For a given period of time, a random sample of 32 Liz Claiborne models reveals average earnings of S4,238.00 and a standard deviation of $1,002.50. For the same period, an independent random sample of 37 Calvin Klein models has mean earnings of $3,888.72 and a sample standard deviation of $876.05. a. Is this a one-tailed or a two-tailed test? Explain. b. Carry out the hypothesis test at the 0.05 level of significance. c. State your conclusion. d. What is the p-value? Explain its relevance. e. Redo the problem, assuming the results are based on a random sample of 10 Liz Claiborne models and 11 Calvin Klein models. Problem 11: A physicians' group is interested in testing to determine whether more people in small towns choose a physician by word of mouth in comparison with people in large metropolitan areas. A random sample of 1,00 people in small towns reveals that 850 chose their physicians by word of mouth; a random sample of 2,500 people living in large metropolitan areas reveals that 1,950 chose a physician by word of mouth. Conduct a one-tailed test aimed at proving that the percentage of popular recommendation of physicians is larger in small towns than in large metropolitan areas. Use a = 0.01. Problem 12: Compaq Computer Corporation has an assembly plant in Houston, where the company's Deskpro computer is built. Engineers at the plant are considering a new production facility and are interested in going online with the new facility if and only if they can be fairly sure that the variance of the number of computers assembled per day using the new facility is lower than the production variance of the old system. A random sample of 40 production days using the old production method gives a sample variance of 1,288; and a random sample of 15 production days using the proposed new method gives a sample variance of 1,112. Conduct the appropriate test at a = 0.05.
13:49
all 91%
Homework 3.pdf
Homework 3.pdf v
HOMEWORK 3
Problem 1:
Suppose you are sampling from a population with mean pu= 1,065 and standard deviation o=
500. The sample size is n=100. What are the expected value and the variance of the sample
mean X?
Problem 2:
The Toyota Prius uses both gasoline and electric power. Toyota claims its mileage per gallon is
52. A random sample of 40 cars is taken and each sampled car is tested for its fuel efficiency.
Assuming that 52 miles per gallon is the population mean and 24 miles per gallon is the
population standard deviation, calculate the probability that the sample mean will be between 52
and 53.
Problem 3:
A car manufacturer wants to estimate the average miles-per-gallon highway rating for a new
model. From experience with similar models, the manufacturer believes the miles-per-gallon
standard deviation is 4.6. A random sample of 100 high-way runs of the new model yields a
sample mean of 32 miles per gallon. Give a 95% confidence interval for the population average
miles-per-gallon highway rating.
Problem 4:
The following gambling game, known as the wheel of fortune (or chuck-a-luck), is quite
popular at many carnivals and gambling casinos: A player bets on one of the numbers 1
through 6. Three dice are then rolled, and if the number bet by the player appears i times,
i=1, 2, 3, then the player wins i units; if the number bet by the player does not appear on
any of the dice, then the player loses 1 unit. Is this game fair to the player? (Actually, the
game is played by spinning a wheel that comes to rest on a slot labeled by three of the
numbers I through 6, but this variant is mathematically equivalent to the dice version.
Problem 5:
The manufacturer of batteries used in small electric appliances wants to estimate the average life
of a battery. A random sample of 12 batteries yields = 34.2 hours and s = 5.9 hours. Give a
95% confidence interval for the average life of a battery.
Problem 6:
A machine produces safety devices for use in helicopters. A quality-control engineer regularly
checks samples of the devices produced by the machine, and if too many of the devices are
defective, the production process is stopped and the machine is readjusted. If a random sample of
52 devices yields 8 defectives, give a 98% confidence interval for the proportion of defective
devices made by this machine.
Problem 7:
Find the minimum required sample size for estimating the average return on real estate
investments to within 0.5% per year with 95% confidence. The standard deviation of returns is
believed to be 2% per year.
Problem 8:
Consider the use of metal detectors in airports to test people for concealed weapons. In essence,
this is a form of hynothesis testing
Transcribed Image Text:13:49 all 91% Homework 3.pdf Homework 3.pdf v HOMEWORK 3 Problem 1: Suppose you are sampling from a population with mean pu= 1,065 and standard deviation o= 500. The sample size is n=100. What are the expected value and the variance of the sample mean X? Problem 2: The Toyota Prius uses both gasoline and electric power. Toyota claims its mileage per gallon is 52. A random sample of 40 cars is taken and each sampled car is tested for its fuel efficiency. Assuming that 52 miles per gallon is the population mean and 24 miles per gallon is the population standard deviation, calculate the probability that the sample mean will be between 52 and 53. Problem 3: A car manufacturer wants to estimate the average miles-per-gallon highway rating for a new model. From experience with similar models, the manufacturer believes the miles-per-gallon standard deviation is 4.6. A random sample of 100 high-way runs of the new model yields a sample mean of 32 miles per gallon. Give a 95% confidence interval for the population average miles-per-gallon highway rating. Problem 4: The following gambling game, known as the wheel of fortune (or chuck-a-luck), is quite popular at many carnivals and gambling casinos: A player bets on one of the numbers 1 through 6. Three dice are then rolled, and if the number bet by the player appears i times, i=1, 2, 3, then the player wins i units; if the number bet by the player does not appear on any of the dice, then the player loses 1 unit. Is this game fair to the player? (Actually, the game is played by spinning a wheel that comes to rest on a slot labeled by three of the numbers I through 6, but this variant is mathematically equivalent to the dice version. Problem 5: The manufacturer of batteries used in small electric appliances wants to estimate the average life of a battery. A random sample of 12 batteries yields = 34.2 hours and s = 5.9 hours. Give a 95% confidence interval for the average life of a battery. Problem 6: A machine produces safety devices for use in helicopters. A quality-control engineer regularly checks samples of the devices produced by the machine, and if too many of the devices are defective, the production process is stopped and the machine is readjusted. If a random sample of 52 devices yields 8 defectives, give a 98% confidence interval for the proportion of defective devices made by this machine. Problem 7: Find the minimum required sample size for estimating the average return on real estate investments to within 0.5% per year with 95% confidence. The standard deviation of returns is believed to be 2% per year. Problem 8: Consider the use of metal detectors in airports to test people for concealed weapons. In essence, this is a form of hynothesis testing
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