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Unformatted text preview: bservations each is the following: 5, 1, 1,
2, 3, 3, 1, 4, 2, 3. What is the estimate of the population proportion of defectives?
A. .25
B. .50
C. .05
D. .42 1553 Chapter 01  An Introduction to Business Statistics 78. The number of defectives in the samples of 100 observations each is the following: 1, 2, 1,
0, 2, 3, 1, 4, 2, 1. What is the estimate of the population proportion of defectives?
A. .017
B. .17
C. .016
D. .16 79. Suppose that 60 percent of the voters in a particular region support a candidate. Find the
probability that a sample of 1,000 voters would yield a sample proportion in favor of the
candidate within 4 percentage points of the actual proportion.
A. .0155
B. .9952
C. .9484
D. .9902 80. Suppose that 60 percent of the voters in a particular region support a candidate. Find the
probability that a sample of 1,000 voters would yield a sample proportion in favor of the
candidate within 2 percentage points.
A. .9015
B. .8030
C. .0155
D. .7939 81. An unbiased estimate of
A. s
B. is _____. C.
D. σ 1554 Chapter 01  An Introduction to Business Statistics 82. A random sample of size 36 is taken from a population with mean 50 and standard
deviation 5. The sampling distribution of
A. Cannot be determined
B. Is skewed to the left
C. Normal
D. Is skewed to the right ____________________. 83. A random sample of size 36 is taken from a population with mean 50 and standard
deviation 5. What is
A. 50
B. 5
C. 8.33
D. 0.833 ? 84. A random sample of size 36 is taken from a population with mean 50 and standard
deviation 5. What is
A. .1389
B. 5
C. 8.33
D. 0.833 ? 85. A random sample of size 36 is taken from a population with mean 50 and standard
deviation 5. Find P (
A. .8331
B. .1151
C. .8849
D. .1389 > 49). 1555 Chapter 01  An Introduction to Business Statistics 86. A random sample of size 36 is taken from a population with mean 50 and standard
deviation 5. Find P (
A. .0082
B. .8330
C. .0999
D. .1389 < 48). 87. A random sample of size 36 is taken from a population with mean 50 and standard
deviation 5. Find P (
A. .0002
B. .7257
C. .2743
D. .1389 > 50.5). 88. A random sample of size 36 is taken from a population with mean 50 and standard
deviation 5. Find P (
A. .9641
B. .0359
C. .1389
D. .9999 < 51.5). 89. A random sample of size 1,000 is taken from a population where p = .20. Describe the
sampling distribution of
A. Cannot be determined
B. Normal
C. Skewed to the left
D. Skewed to the right . 1556 Chapter 01  An Introduction to Business Statistics 90. A random sample of size 1,000 is taken from a population where p = .20. What is
A. .006
B. .20
C. .02
D. .16 91. A random sample of size 1,000 is taken from a population where p = .20. What is (
A. .0051
B. .03162
C. .01414
D. .01265 ? )? 92. A random sample of size 1,000 is taken from a population where p = .20. Find P (
18).
A. .9429
B. .0571
C. .2643
D. .0793 <. 93. A random sample of size 1,000 is taken from a population where p = .20. Find P (
175).
A. .9761
B. .0239
C. .0392
D. .9999 >. 94. A random sample of size 1,000 is taken from a population where p = .20. Find P (
21).
A. .2148
B. .0239
C. .9761
D. .7852 >. 1557 Chapter 01  An Introduction to Business Statistics 95. A random sample of size 1,000 is taken from a population where p = .20. Find P (
22).
A. .2643
B. .9429
C. .9207
D. .0571 <. 96. Packages of sugar bags for Sweeter Sugar Inc. have an average weight of 16 ounces and a
standard deviation of 0.3 ounces. The weights of the sugar bags are normally distributed.
What is the probability that 9 randomly selected packages will have a weight in excess of
16.025 ounces?
A. 5987
B. 0062
C. 4013
D. 9938 97. The population of lengths of aluminumcoated steel sheets is normally distributed with a
mean of 30.05 inches and a standard deviation of 0.2 inches. What is the probability that
randomly selected 4 sheets will have an average length of less than 29.9 inches long?
A. 0668
B. 9332
C. 0014
D. 4404 98. The population of lengths of aluminumcoated steel sheets is normally distributed with a
mean of 30.05 inches and a standard deviation of 0.2 inches. A sample of four metal sheets is
randomly selected from a batch. What is the probability that the average length of a sheet is
between 30.25 and 30.35 inches long?
A. 9773
B. 0227
C. 0386
D. 0215 1558 Chapter 01  An Introduction to Business Statistics 99. The population of lengths of aluminumcoated steel sheets is normally distributed with a
mean of 30.05 inches and a standard deviation of 0.3 inches. What is the probability that
average length of a steel sheet from a sample of 9 units is more than 29.95 inches long?
A. 4602
B. 8413
C. 1587
D. 5397 100. The chief chemist for a major oil/gasoline production company claims that the regular
unleaded gasoline produced by the company contains on average 4 ounces of a certain
ingredient. The chemist further states that the distribution of this ingredient per gallon of
regular unleaded gasoline is normal and has a standard devi...
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