Statistics MCQs –Discrete Distributions Part 6

101. It is believed that 80% of STA1000S students got A’s for their final matric exams. What is the variance of the number of students who got A’s for matric, in samples of size 10?

a. 2.05

b. 4.20

c. 1.26

d. 1.60

e. 3.85

102. It is believed that 70% of STA1000S students got A’s for their final matric exams. What is the standard deviation of the number of students who got A’s for matric, in samples of size 15?

a. 1.77

b. 4.20

c. 1.26

d. 1.60

e. 3.15

103. It is believed that 70% of STA1000S students got A’s for their final matric exams. What is the variance of the number of students who got A’s for matric, in samples of size 15?

a. 1.77

b. 4.20

c. 1.26

d. 1.60

e. 3.15

104. Which of the following is not a characteristic of a Binomial distribution?

a. There is a sequence of identical trials

b. The trials are independent of one another

c. Each trial results in two or more outcomes

d. The probability of success (p) is the same for all trials

e. There are a finite number of trials

105. A computer that operates continuously breaks down randomly on average 6 times per month (ie: 4 weeks). What is the probability of exactly 4 breakdowns in the first two weeks?

a. 0.168

b. 0.134

c. 0.815

d. 0.285

e.0.547

106. A computer that operates continuously breaks down randomly on average 6 times per month (ie: 4 weeks). What is the probability of exactly 4 breakdowns in the first month?

a. 0.168

b. 0.134

c. 0.815

d. 0.285

e. 0.547

107. Tourists enter a popular game reserve at an average rate of one every five minutes. What is the probability that exactly ten tourists arrive within the first hour?

a. 0.105

b. 0.114

c. 0.066

d. 0.041

e. 0.161

108. Tourists enter a popular game reserve at an average rate of one every five minutes. What is the probability that exactly eleven tourists arrive within the first hour?

a. 0.105

b. 0.114

c. 0.066

d. 0.041

e. 0.161

109. Tourists enter a popular game reserve at an average rate of one every five minutes. What is the probability that exactly eight tourists arrive within the first hour?

a. 0.105

b. 0.114

c. 0.066

d. 0.041

e. 0.161

110. Tourists enter a popular game reserve at an average rate of one every ten minutes. What is the probability that exactly ten tourists arrive within the first hour?

a. 0.105

b. 0.114

c. 0.066

d. 0.041

e. 0.161

111. Tourists enter a popular game reserve at an average rate of one every ten minutes. What is the probability that exactly five tourists arrive within the first hour?

a. 0.105

b. 0.114

c. 0.066

d. 0.041

e. 0.161

112. Tourists enter a popular game reserve at an average rate of one every five minutes. What is the probability that it takes more than ten minutes until the first tourist arrives?

a. 0.135

b. 0.050

c. 0.368

d. 0.018

e. 0.002

113. Tourists enter a popular game reserve at an average rate of one every five minutes. What is the probability that it takes more than fifteen minutes until the first tourist arrives?

a. 0.135

b. 0.050

c. 0.368

d. 0.018

e. 0.002

114. Tourists enter a popular game reserve at an average rate of one every five minutes. What is the probability that it takes more than five minutes until the first tourist arrives?

a. 0.135

b. 0.050

c. 0.368

d. 0.018

e. 0.002

115. Tourists enter a popular game reserve at an average rate of one every five minutes. What is the probability that it takes more than twenty minutes until the first tourist arrives?

a. 0.135

b. 0.050

c. 0.368

d. 0.018

e. 0.002

116. Tourists enter a popular game reserve at an average rate of one every five minutes. What is the probability that it takes more than half an hour until the first tourist arrives?

a. 0.135

b. 0.050

c. 0.368

d. 0.018

e. 0.002

117. The local police department must write, on average, 5 tickets a day to keep department revenues at budgeted level. Suppose the number of tickets written per day follows a Poisson distribution with a mean of 7.5 tickets per day. What is the probability that exactly 5 tickets are written on a randomly selected day?

a. 0.109

b. 0.146

c. 0.137

d. 0.149

e. 0.128

118. The local police department must write, on average, 5 tickets a day to keep department revenues at budgeted level. Suppose the number of tickets written per day follows a Poisson distribution with a mean of 7.5 tickets per day. What is the probability that exactly 7 tickets are written on a randomly selected day?

a. 0.109

b. 0.146

c. 0.137

d. 0.149

e. 0.128

119. The local police department must write, on average, 5 tickets a day to keep department revenues at budgeted level. Suppose the number of tickets written per day follows a Poisson distribution with a mean of 7.5 tickets per day. What is the probability that exactly 8 tickets are written on a randomly selected day?

a. 0.109

b. 0.146

c. 0.137

d. 0.149

e. 0.128

120. The local police department must write, on average, 5 tickets a day to keep department revenues at budgeted level. Suppose the number of tickets written per day follows a Poisson distribution with a mean of 7 tickets per day. What is the probability that exactly 6 tickets are written on a randomly selected day?

a. 0.109

b. 0.146

c. 0.137

d. 0.149

e. 0.128