Saint GBA 334 Unit 1 Quiz

Question
1. 1.
A
production process is known to produce a particular item in such a way that 5
percent of these are defective. If two items are randomly selected as they come
off the production line, what is the probability that both are defective
(assuming that they are independent)?
0.0100
0.1000
0.2000
0.0025
0.0250
Question
2. 2.
Which
distribution is helpful in testing hypotheses about variances?
binomial
distribution
F distribution
normal
distribution
Poisson
distribution
exponential
distribution
Question
3. 3.
At
a university with 1,000 business majors, there are 200 business students
enrolled in an introductory statistics course. Of these 200 students, 50 are
also enrolled in an introductory accounting course. There are an additional 250
business students enrolled in accounting but not enrolled in statistics. If a
business student is selected at random, what is the probability that the
student is enrolled in statistics?
0.05
0.20
0.25
0.30
None
of the above
Question
4. 4. The number of cars passing through an intersection in the
next five minutes can usually be described by the (Points : 4)
normal
distribution.
uniform
distribution.
exponential
distribution
Poisson
distribution.

None
of the above
Question
5. 5.
At
a university with 1,000 business majors, there are 200 business students
enrolled in an introductory statistics course. Of these 200 students, 50 are
also enrolled in an introductory accounting course. There are an additional 250
business students enrolled in accounting but not enrolled in statistics. If a
business student is selected at random, what is the probability that the
student is either enrolled in accounting or statistics, but not both?
0.45
0.50
0.40
0.05
Question
6. 6.
The
number of phone calls coming into a switchboard in the next five minutes will
either be 0, 1, 2, 3, 4, 5, or 6. The probabilities are the same for each of
these (1/7). If X is the number of calls arriving in a five-minute time period,
what is the mean of X?
2
3
4
5
None
of the above
Question
7. 7.
At
a university with 1,000 business majors, there are 200 business students
enrolled in an introductory statistics course. Of these 200, 50 are also
enrolled in an introductory accounting course. There are an additional 250
business students enrolled in accounting but not enrolled in statistics. If a
business student is selected at random, what is the probability that the
student is enrolled in neither accounting nor statistics?
0.45
0.50
0.55
0.05
None
of the above
Question
8. 8.
Historical
data indicates that only 20% of cable customers are willing to switch
companies. If a binomial process is assumed, then in a sample of 20 cable
customers, what is the probability that no more than 3 customers would be
willing to switch their cable?
0.85
0.15
0.20
0.411
0.589
Question
9. 9.
Suppose
that when the temperature is between 35 and 50 degrees, it has historically
rained 40% of the time. Also, historically, the month of April has had a
temperature between 35 and 50 degrees on 25 days. You have scheduled a golf tournament
for April 12. What is the probability that players will experience rain and a
temperature between 35 and 50 degrees?
0.333
0.400
0.833
1.000
0.480

Question
10. 10. The ability to examine the variability of a solution
due to changes in the formulation of a problem is an important part of the
analysis of the results. This type of analysis is called ________ analysis.
Implicit
Normal
Scale
Objective
sensitivity

Question
11. 11.
Properties
of the normal distribution include
a
continuous bell-shaped distribution.
a
discrete probability distribution.
the
number of trials is known and is either 1, 2, 3, 4, 5, etc.
the
random variable can assume only a finite or limited set of values.
use
in queuing.
Question
12. 12.
The
number of cell phone minutes used by high school seniors follows a normal
distribution with a mean of 500 and a standard deviation of 50. What is the
probability that a student uses fewer than 600 minutes?
0
0.023
0.841
0.977
None
of the above

Question
13. 13.
At
a university with 1,000 business majors, there are 200 business students
enrolled in an introductory statistics course. Of these 200 students, 50 are
also enrolled in an introductory accounting course. There are an additional 250
business students enrolled in accounting but not enrolled in statistics. If a
business student is selected at random, what is the probability that the
student is enrolled in both statistics and accounting?
0.05
0.06
0.20
0.25
None
of the above
Question
14. 14.
At
a university with 1,000 business majors, there are 200 business students
enrolled in an introductory statistics course. Of these 200 students, 50 are
also enrolled in an introductory accounting course. There are an additional 250
business students enrolled in accounting but not enrolled in statistics. If a
business student is selected at random and found to be enrolled in statistics,
what is the probability that the student is also enrolled in accounting?
0.05
0.30
0.20
0.25
None
of the above
Question
15. 15.
A
________ is a numerical statement about the likelihood that an event will
occur.
mutually
exclusive construct
collectively
exhaustive construct
variance
probability
standard
deviation
Question
16. 16.
The
classical method of determining probability is
subjective
probability.
marginal
probability.
objective
probability.
joint
probability.
conditional
probability.
Question
17. 17. Trying various approaches and picking the one that
results in the best decision is called (Points : 4)
the
trial-and-error method.
incomplete
enumeration.
complete
enumeration.
algorithmic
approximation.
sensitivity
analysis.
Question
18. 18. A(n) ________ is a representation of reality or a
real-life situation. (Points : 4)
Objective
Model
Analysis
Algorithm
None
of the above
Question
19. 19.
At
a university with 1,000 business majors, there are 200 business students
enrolled in an introductory statistics course. Of these 200, 50 are also
enrolled in an introductory accounting course. There are an additional 250
business students enrolled in accounting but not enrolled in statistics. If a
business student is selected at random, what is the probability that the
student is not enrolled in statistics?
0.05
0.20
0.25
0.80
None
of the above
Question
20. 20.
Drivers
arrive at a toll booth at a rate of 3 per minute during peak traffic periods.
The time between consecutive driver arrivals follows an exponential
distribution. What is the probability that takes less than 1/2 of a minute
between consecutive drivers?
0.167
0.223
0.777
0.5
Question
21. 21.
Suppose
that 10 golfers enter a tournament and that their respective skill levels are
approximately the same. Six of the entrants are female and two of those are
older than 40 years old. Three of the men are older than 40 years old. What is
the probability that the winner will be a female who is older than 40 years
old?
0.000
1.100
0.198
0.200
0.900
Question
22. 22.
Postoptimality
analysis is most closely associated with

collecting
input data.

developing
a model.
sensitivity
analysis.
writing
a computer program.
None
of the above
Question
23. 23.
The
break-even point is an example of a
postoptimality
model.
quantitative
analysis model.
schematic
model.
sensitivity
analysis model.
None
of the above
Question
24. 24.
Testing
the data and model should be done before the results have been analyzed.
True
False
Question
25. 25. Which of the following statement(s) are true regarding
the advantages of mathematical modeling?
Models
accurately represent reality.
Models
can help decision makers formulate problems
Models
can save time.
Models
may be the only way to solve some large and complex problems in a timely
manner.
All
of the above