Unformatted text preview: iance of .03. If we randomly select three bolts from this process: What is the
probability the mean length of the bolt is at most 3.1 inches?
A. 84.13%
B. 100 %
C. 71.57 %
D. 28.43 %
E. 15.87 % 52. The spread of the sampling distribution of
is ____________ the spread of the
corresponding population distribution sampling distribution.
A. Larger than
B. Smaller than
C. The same as
D. Exactly ½ 1547 Chapter 01  An Introduction to Business Statistics 53. For large samples, the sampling distribution of
of _____. is approximately normal with a mean A.
B.
C.
D. Z 54. _____ says that if the sample size is sufficiently large, then the sample means are
approximately normally distributed.
A. Cluster sampling
B. Sampling error
C. Sampling distribution of the mean
D. Central Limit Theorem 55. If a sample size is at least _____, then for any sampled population, we can conclude that
the sample means are approximately normal.
A. 25
B. 20
C. 30
D. 50 56. If we wish to estimate a population parameter by using a sample statistic, we are using
_____.
A. Cluster sampling
B. Point estimation
C. Random sampling
D. Response bias 1548 Chapter 01  An Introduction to Business Statistics 57. The mean of the sampling distribution of the sample proportion is equal to _____ when
the sample size is sufficiently large.
A. µ
B. p
C. p * n
D. (1p) 58. If the sampled population is finite and at least _____ times larger than the sample size, the
standard deviation of
A. 5
B. 20
C. 30
D. 10 decreases as the sample size increases. 59. The notation for the standard deviation of the sampling distribution of the sample mean is
__________.
A.
B. σx
C.
D. 60. The sampling distribution of the sample mean is a normal distribution for ________
sample sizes regardless of the shape of the corresponding population distribution.
A. Random
B. Large
C. Larger than 50
D. Small 1549 Chapter 01  An Introduction to Business Statistics 61. A theorem that allows us to use the normal probability distribution to approximate the
sampling distribution of sample means and sample proportions whenever the sample size is
large is known as the _______________.
A. Cluster sampling
B. Sampling error
C. Sampling distribution of the mean
D. Central Limit Theorem 62. As the sample size increases the variability of the sampling distribution of the mean
______________.
A. Increases
B. Stays the same
C. Is variable
D. Decreases 63. As the sample size ___________, the standard deviation of the population of all sample
proportions increases.
A. Increases
B. Stays the same
C. Is variable
D. Decreases 64. The population of all _________________ proportions is described by sampling
distribution of
A. Population
B. Random
C. Observed
D. Sample . 1550 Chapter 01  An Introduction to Business Statistics 65. The _______________________ of a sample statistic is the probability distribution of the
population of all possible values of the sample statistic.
A. Sample mean
B. Sampling distribution
C. Probability
D. Observations 66. The ___________ is a minimumvariance unbiased point estimate of the mean of a
normally distributed population.
A. Sample mean
B. Sample variance
C. Sample standard deviation
D. Observed mean 67. Find
A. .9944
B. .4483
C. .5517
D. .1056 68. A PGA (Professional Golf Association) tournament organizer is attempting to determine
whether hole (pin) placement has a significant impact on the average number of strokes for
the 13th hole on a given golf course. Historically, the pin has been placed in the front right
corner of the green, and the historical mean number of strokes for the hole has been 4.25, with
a standard deviation of 1.6 strokes. On a particular day during the most recent golf
tournament, the organizer placed the hole (pin) in the back left corner of the green. 64 golfers
played the hole with the new placement on that day. Determine the probability of the sample
average number of strokes exceeding 4.75.
A. .9938
B. .4013
C. .0062
D. .3783 1551 Chapter 01  An Introduction to Business Statistics 69. Packages of sugar bags for Sweeter Sugar Inc. have an average weight of 16 ounces and a
standard deviation of 0.2 ounces. The weights of the sugar bags are normally distributed.
What is the probability that 16 randomly selected packages will have a weight in excess of
16.075 ounces?
A. .0500
B. .3520
C. .9332
D. .0668 70. The population of lengths of aluminum  coated 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. .8413
B. .6293
C. .3707
D. .1587 71. Find
A. .1587
B. .8413
C. .6293
D. .3707 72. Find
A. 1.000
B. 2.25
C. .9878
D. .0122 1552 Chapter 01  An Introduction to Business Statistics 73. Find
A. .0764
B. .9998
C. .9236
D. .0001 74. Find
A. 0.20
B. 200
C. 20
D. 2.00 75. Find
A. .8413
B. .4602
C. .5398
D. .1587 76. Find
A. .9786
B. .9999
C. .0214
D. .9893 77. The number of defectives in the samples of 50 o...
View
Full
Document
This document was uploaded on 01/20/2014.
 Winter '14

Click to edit the document details