Chapter 5: Q55SE (page 295)
:A random sample of n = 68 observations is selected from a population withand Approximate each of the following probabilities
a)
b)
c)
d)
Short Answer
a)
b)
c)
d)
Chapter 5: Q55SE (page 295)
:A random sample of n = 68 observations is selected from a population withand Approximate each of the following probabilities
a)
b)
c)
d)
a)
b)
c)
d)
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Get started for freeConsider the population described by the probability distribution shown below.
The random variable x is observed twice. If these observations are independent, verify that the different samples of size 2 and their probabilities are as shown below.
a. Find the sampling distribution of the sample mean.
b. Construct a probability histogram for the sampling distribution of.
c. What is the probability thatis 4.5 or larger?
d. Would you expect to observe a value ofequal to 4.5 or larger? Explain.
A random sample of n = 250 measurements is drawn from a binomial population with a probability of success of .85.
Errors in filling prescriptions A large number of preventable errors (e.g., overdoses, botched operations, misdiagnoses) are being made by doctors and nurses in U.S. hospitals. A study of a major metropolitan hospital revealed that of every 100 medications prescribed or dispensed, 1 was in error,
but only 1 in 500 resulted in an error that caused significant problems for the patient. It is known that the hospital prescribes and dispenses 60,000 medications per year.
Rental car fleet evaluation. National Car Rental Systems, Inc., commissioned the U.S. Automobile Club (USAC) to conduct a survey of the general condition of the cars rented to the public by Hertz, Avis, National, and Budget Rent-a-Car.* USAC officials evaluate each company’s cars using a demerit point system. Each car starts with a perfect score of 0 points and incurs demerit points for each discrepancy noted by the inspectors. One measure of the overall condition of a company’s cars is the mean of all scores received by the company (i.e., the company’s fleet mean score). To estimate the fleet mean score of each rental car company, 10 major airports were randomly selected, and 10 cars from each company were randomly rented for inspection from each airport by USAC officials (i.e., a sample of size n = 100 cars from each company’s fleet was drawn and inspected).
a. Describe the sampling distribution of x, the mean score of a sample of n = 100 rental cars.
b. Interpret the mean of x in the context of this problem.
c. Assume and for one rental car company. For this company, find .
d. Refer to part c. The company claims that their true fleet mean score “couldn’t possibly be as high as 30.” The sample mean score tabulated by USAC for this company was 45. Does this result tend to support or refute the claim? Explain.
Question:Quality control. Refer to Exercise 5.68. The mean diameter of the bearings produced by the machine is supposed to be .5 inch. The company decides to use the sample mean from Exercise 5.68 to decide whether the process is in control (i.e., whether it is producing bearings with a mean diameter of .5 inch). The machine will be considered out of control if the mean of the sample of n = 25 diameters is less than .4994 inch or larger than .5006 inch. If the true mean diameter of the bearings produced by the machine is .501 inch, what is the approximate probability that the test will imply that the process is out of control?
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