Setting up a probability distribution building a

Setting up a probability distribution, building a cumulative probability distribution, and generating
random numbers are
a. necessary when the underlying probability distribution is normal
b. three of the five steps in Monte Carlo analysis
c. elements of physical simulation but not mathematical simulation
d. the three steps involved in simulating a queuing problem
e. advantages of simulation
c (Monte Carlo simulation, moderate)
34. From a portion of a probability distribution, you read that P(demand = 0) is 0.05 and
P(demand = 1) is 0.10. The cumulative probability for demand ≤ 1 would be
a. 0.05
b. 0.075
c. 0.10
d. 0.15
e. cannot be determined
d (Monte Carlo simulation, moderate) {AACSB: Analytic Skills}

585
35. From a portion of a probability distribution, you read that P(demand = 1) is 0.05, P(demand = 2) is
0.15, and P(demand = 3) is .20. The cumulative probability for demand ≤ 3 would be
a. 0.133
b. 0.200
c. 0.400
d. 0.600
e. cannot be determined from the information given
e (Monte Carlo simulation, moderate) {AACSB: Analytic Skills}
36. From a portion of a probability distribution, you read that P(demand = 0) is 0.05, P(demand = 1) is
0.10, and P(demand = 2) is 0.20. The two-digit random number intervals for this distribution
beginning with 01 are
a. 01 through 05, 01 through 10, and 01 through 20
b. 00 through 04, 05 through 14, and 15 through 34
c. 01 through 05, 06 through 15, and 16 through 35
d. 00 through 04, 00 through 09, and 00 through 19
e. 01 through 06, 07 through 16, and 17 through 36
c (Monte Carlo simulation, moderate) {AACSB: Analytic Skills}
37. From a portion of a probability distribution, you read that P(demand = 0) is 0.25, and
P(demand = 1) is 0.30. The random number intervals for this distribution beginning with 01 are
a. 01 through 25, and 26 through 30
b. 01 through 25, and 01 through 30
c. 01 through 25, and 26 through 55
d. 00 through 25, and 26 through 55
e. 00 through 25, and 26 through 30
c (Monte Carlo simulation, moderate) {AACSB: Analytic Skills}
38. A distribution of service times at a waiting line indicates that service takes 6 minutes 30 percent of
the time, 7 minutes 40 percent of the time, 8 minutes 20 percent of the time, and 9 minutes 10
percent of the time. In preparing this distribution for Monte Carlo analysis, the service time 8
minutes would be represented by the random number range
a. 20 through 40
b. 21 through 40
c. 70 through 90
d. 71 through 90
e. none of these
d (Monte Carlo simulation, moderate) {AACSB: Analytic Skills}
39. A distribution of service times at a waiting line shows that service takes 6 minutes 30 percent of the
time, 7 minutes 40 percent of the time, 8 minutes 20 percent of the time, and 9 minutes 10 percent
of the time. This distribution has been prepared for Monte Carlo analysis. The first two random
numbers drawn are 53 and 74. The simulated service times are ____ minutes, then ____ minutes.
a. 6; 7
b. 7; 7
c. 7; 8
d. 8; 9
e. cannot determine, because no service time probability is that large
c (Monte Carlo simulation, moderate) {AACSB: Analytic Skills}