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Unformatted text preview: t has 6 multiple choice questions, each with 4 alternatives. What is the probability of
guessing 5 or more questions correctly?
A. .5340
B. .4660
C. .9954
D. .0046 72. If x is a Poisson random variable with a mean of 10, what is the probability that x is
greater than or equal to 2?
A. .9972
B. .0028
C. .9995
D. .0005 73. If x is a Poisson random variable with a mean of 10, what is the probability that x is equal
to 8?
A. .1126
B. .1251
C. .2677
D. .0993 74. Twenty coins are tossed. What is the probability of getting exactly 10 heads?
A. .3364
B. .1602
C. .5000
D. .1762 1366 Chapter 01  An Introduction to Business Statistics 75. Determine the probability that a 3 will appear twice, if a fair die is rolled 10 times.
A. .5010
B. .2907
C. .2318
D. .0065 76. During off hours, cars arrive at a tollbooth on the EastWest toll road at an average rate of
0.5 cars per minute. The arrivals are distributed according to the Poisson distribution.
What is the probability that during the next minute three cars will arrive?
A. .0758
B. .1255
C. .0126
D. .0613 77. During off hours, cars arrive at a tollbooth on the EastWest toll road at an average rate of
0.5 cars per minute. The arrivals are distributed according to the Poisson distribution.
What is the probability that during the next five minutes three cars will arrive?
A. .2138
B. .1804
C. .0126
D. .0613 78. For a binomial process, the probability of success is 40% and the number of trials is 5.
Find the expected value.
A. 5.0
B. 1.2
C. 2.0
D. 1.1 1367 Chapter 01  An Introduction to Business Statistics 79. For a binomial process, the probability of success is 40% and the number of trials is 5.
Find the variance.
A. 5.0
B. 1.2
C. 2.0
D. 1.1 80. For a binomial process, the probability of success is 40% and the number of trials is 5.
Find the standard deviation.
A. 5.0
B. 1.2
C. 2.0
D. 1.1 81. For a binomial process, the probability of success is 40% and the number of trials is 5.
Find P(X ≤ 1).
A. .0870
B. .2592
C. .0778
D. .3370 82. For a binomial process, the probability of success is 40% and the number of trials is 5.
Find P(X > 4).
A. .0102
B. .0778
C. .0870
D. .3370 1368 Chapter 01  An Introduction to Business Statistics 83. For a binomial process, the probability of success is 40% and the number of trials is 5.
Find the P(X = 2).
A. .2304
B. .3456
C. .3072
D. .5760 84. Consider a Poisson distribution with an average of 3 customers per minute at the local
grocery store. Determine the expected number of customer arrivals for a fiveminute period
A. 15
B. 3
C. 243
D. 125 85. Consider a Poisson distribution with an average of 3 customers per minute at the local
grocery store. If X = the number of arrivals per minute:
Find the expected value of X.
A. 3
B. 9
C. 1.5
D. 1.7 86. Consider a Poisson distribution with an average of 3 customers per minute at the local
grocery store:
Consider a Poisson distribution with an average of 3 customers per minute at the local grocery
store. If X = the number of arrivals per minute, find the variance of X.
A. 3
B. 9
C. 1.5
D. 1.7 1369 Chapter 01  An Introduction to Business Statistics 87. Consider a Poisson distribution with an average of 3 customers per minute at the local
grocery store:
Consider a Poisson distribution with an average of 3 customers per minute at the local grocery
store. If X = the number of arrivals per minute, find the standard deviation of X.
A. 3
B. 9
C. 1.5
D. 1.7 88. Consider a Poisson distribution with an average of 3 customers per minute at the local
grocery store. If X = the number of arrivals per minute:
Find the probability of 10 customers or less arriving within a minute.
A. .9998
B. .9990
C. .0008
D. .0498 89. Consider a Poisson distribution with an average of 3 customers per minute at the local
grocery store. If X = the number of arrivals per minute:
Find the probability of more than 7 customers arriving within a minute.
A. .0216
B. .0081
C. .0108
D. .0118 90. Consider a Poisson distribution with an average of 3 customers per minute at the local
grocery store. If X = the number of arrivals per minute:
Find the probability of 3 customers arriving within a minute.
A. 1.00
B. .1494
C. .224
D. .3734 1370 Chapter 01  An Introduction to Business Statistics 91. One die is thrown. What is the expected value of the number of dots on the top face of the
die?
A. 1.0
B. 3.5
C. 4.0
D. 3.0 92. If X has the probability distribution compute the expected value of X.
A. 1.0
B. 0.3
C. 0.7
D. 0.5 93. If X has the probability distribution compute the expected value of X.
A. 1.3
B. 1.0
C. 2.4
D. 1.8 94. X has the following probability distribution P(X): Compute the expected value of X.
A. 2.5
B. 1.0
C. 1.6
D. 0.6 1371 Chapter 01  An Introduction to Business Statistics 95. X has the following probability distribution P(X): Compute the variance value of X.
A. 1.58
B. .955
C. .912
D. .625 96. Historical data for a local steel manufacturing company shows that the average number of
defects per standard sheet of steel is...
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 Winter '14

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