Quantitative
Analysis for Management,
Chapter 1 Introduction to Quantitative Analysisalsetrue false

1) Interviews, statistical sampling, and
company reports provide input data for quantitative analysis models.

2) In the early 1900s, Henry Ford
pioneered the principles of the scientific approach to management.
3) Managers do not need to be familiar
with the limitations, assumptions, and/or specific applicability of the
quantitative analysis technique to use it for accurate decision making.

4) During World War II, many new
scientific and quantitative techniques were developed to assist the military,
and these developments were so successful that many companies started using
similar techniques in managerial decision making and planning after the war.

5) Business Analytics is a data-driven
approach to decision making that allows companies to make better decisions.

6) Descriptive Analytics is aimed at
forecasting future outcomes based on patterns in the past data.

7) When a problem is difficult to
quantify, it may be necessary to develop unspecific objectives.

8) The Quantitative Analysis Approach
consists of six steps.

9) A mathematical model shows the
relationship between quantifiable and non-quantifiable information.

10) Decision variables may also be called
parameters.

11) Model variables can be controllable or
uncontrollable.

12) A series of steps or procedures that
are repeated is known as an algorithm.

13) A model is a representation of a
situation.

14) A parameter is a measurable quantity
that may vary or is subject to change.

15) Trying various approaches and picking
the one resulting in the best decision is called incomplete enumeration.

16) All problems can be solved by
considering only the quantitative issues.

17) A profit equation is an example of a
schematic model.

18) Testing the data and model should be
done before the results have been analyzed.

19) Sensitivity analysis helps us estimate
the effect of known and unknown errors in our model.

20) Models can help us analyze a problem
and sell a decision to those who must implement it.

21) A sensitivity analysis allows a
manager to answer the “what if” questions.

22) One problem in using a quantitative
model is that the necessary data may be unavailable.

23) Management support and user
involvement are not essential in the successful implementation of quantitative
analysis projects.mcq

24) Which of the following terms is
interchangeable with quantitative analysis?
A) management science
B) economics
C) financial analysis
D) statistics
E) None of the above

25) Operations Research is known as
A) the science of numerical analysis.
B) the science of sensitivity analysis.
C) the science of better.
D) the science of modeling.
E) None of the above

26) Who is credited with pioneering the
principles of the scientific approach to management?
A) Adam Smith
B) Henri Fayol
C) John R. Locke
D) Frederick W. Taylor
E) Charles Babbage

27) Which of the following techniques
involves the study and consolidation of historical data for a business and an
industry?
A) descriptive analytics
B) prescriptive analytics
C) predictive analytics
D) management science
E) operations research

28) Which of the following techniques
involves the use of optimization methods to provide new and better ways to
operate based on specific business objectives?
A) descriptive analytics
B) prescriptive analytics
C) predictive analytics
D) quantitative analysis
E) qualitative analysis
Answer:
B
Diff: 2
Topic: BUSINESS ANALYTICS

29) A(n) ________ is a representation of
reality or a real-life situation.
A) objective
B) model
C) analysis
D) algorithm
E) None of the above

30) A measurable quantity that may vary,
or is subject to change, and can be controlled is known as a(n)
A) decision variable.
B) algorithm.
C) parameter.
D) solution.
E) None of the above

31) A set of logical and mathematical
operations performed in a specific sequence is called a(n)
A) complete enumeration.
B) diagnostic analysis.
C) algorithm.
D) objective.
E) None of the above

32) 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.
A) sensitivity
B) implicit
C) normal
D) scale
E) objective

33) Which of the following is not
one of the steps in the quantitative analysis approach?
A) Defining the Problem
B) Developing a Solution
C) Observing a hypothesis
D) Testing a Solution
E) Implementing the Results

34) The condition of improper data
yielding misleading results is referred to as
A) garbage in, garbage out.
B) break-even point.
C) uncontrollable variable.
D) postoptimality.
E) None of the above

35) Expressing profits through the
relationship among unit price, fixed costs, and variable costs is an example of
A) a sensitivity analysis model.
B) a quantitative analysis model.
C) a postoptimality relationship.
D) a parameter specification model.
E) None of the above

36) The widespread applicability of
operations research methods to business followed which war?
A) The U.S. Civil War
B) World War I
C) World War II
D) The Korean War
E) The Vietnam War

37) Which of the following statement(s)
are true regarding the advantages of mathematical modeling?
A) Models accurately represent reality.
B) Models can help decision makers
formulate problems.
C) Models can save time.
D) Models may be the only way to solve
some large and complex problems in a timely manner.
E) All of the above

38) A measurable quantity that is inherent
in the problem is called a(n)
A) decision variable.
B) uncontrollable variable.
C) algorithm.
D) parameter.
E) enumeration variable.

39) Trying various approaches and picking
the one that results in the best decision is called
A) the trial-and-error method.
B) incomplete enumeration.
C) complete enumeration.
D) algorithmic approximation.
E) sensitivity analysis.

40) Models that do not involve risk or
chance are
A) probabilistic models.
B) postoptimality models.
C) deterministic models.
D) MIS models.
E) None of the above

41) If input data are accurate to three
significant digits, then the solution results can be accurate to how many
significant digits?
A) one
B) two
C) three
D) four
E) six

42) Postoptimality analysis is most
closely associated with
A) collecting input data.
B) developing a model.
C) sensitivity analysis.
D) writing a computer program.
E) None of the above

43) The break-even point is an example of
a
A) postoptimality model.
B) quantitative analysis model.
C) schematic model.
D) sensitivity analysis model.
E) None of the above

44) A controllable variable is also called
a
A) parameter.
B) decision variable.
C) mathematical model.
D) measurable quantity.
E) None of the above

45) Evaluating all possible values of a
variable in a model is called
A) trial and error.
B) complete enumeration.
C) an algorithm.
D) variablization.
E) None of the above

46) What is the formula for the break-even
point of a simple profit model?
A) Fixed Cost / Variable Cost Per Unit
B) (Selling Price Per Unit – Variable Cost
Per Unit) / Fixed Cost
C) Fixed Cost / (Selling Price Per Unit –
Variable Cost Per Unit)
D) Fixed Cost / (Variable Cost Per Unit –
Selling Price Per Unit)
E) Selling Price Per Unit – (Fixed Cost /
Variable Cost Per Unit)

47) The break-even point of a simple
profit model represents a(n)
A) decision variable.
B) uncontrollable variable.
C) parameter.
D) constant.
E) None of the above

48) A(n) ________ model is one that is
accurate and correctly represents the problem or system under investigation.
A) robust
B) valid
C) sensitive
D) optimal
E) feasible

49) Which Excel feature is an optimization
technique that can maximize or minimize a quantity given a set of limitations
or constraints?
A) Optimizer
B) Goal Seek
C) Analysis Tool-Pak
D) Algorithm Builder
E) Solver

50) Which Excel feature allows the user to
specify a target or goal and the variable that is desired to change in order to
achieve that goal?
A) Solver
B) Goal Search
C) Target Search
D) Goal Seek
E) Target Seek

51) All of the following are real computer
applications that perform quantitative analysis except
A) Solver in Excel.
B) Goal Seek in Excel.
C) Excel QM.
D) POM-QM for Windows.
E) QA for Windows.

52) As one attempts to develop a model,
which of the following problems might she encounter?
A) The problem may not fit a textbook
approach.
B) There will be no data available to test
the model.
C) Not everyone will understand the
problem in the same way.
D) All of the above
E) None of the above

53) Which of the following is a picture,
drawing, or chart of reality?
A) scale model
B) physical model
C) mathematical model
D) schematic model
E) abstract model

54) Which of the following is not
considered a possible problem in the quantitative analysis approach?
A) validity of the data
B) lack of commitment
C) resistance to change
D) subjective solutions
E) hard-to-understand mathematics

55) Quantitative analysis is ________.
?

56) Identify the steps of the quantitative
analysis approach.

57) What are the three categories of
business analytics?

58) The study of the consolidation of
historical data to describe how a company has performed in the past is called
________.
called ________.
60) The use of optimization methods to
provide new and better ways to operate based on specific business objectives is
called ________.

61) A controllable variable is also called
a ________ variable.

62) A picture, drawing, or chart of reality
is a ________ model

63) Identify some possible problems in the
quantitative analysis approach.

64) Identify three potential problems with
people (two with management and one with the quantitative analysts themselves)
that may hinder successful implementation of a quantitative model.

65) In making a decision, both ________
and quantitative factors must be considered.

66) Inaccurate model input data leads to
inaccurate model solutions. This phenomenon is commonly referred to as
________.

67) The solution process of ________
implies that we look at all possible solutions.
Complete enumeration

68) Once we have a solution, we should
then perform ________ analysis.

69) ________ models do not involve risk or
chance.

70) ________ models are uncertain.

71) How can an analyst overcome the
threats to successful implementation of a quantitative model?
Quantitative
Analysis for Management,Chapter 1 Introduction to Quantitative Analysisalsetrue false1) Interviews, statistical sampling, and
company reports provide input data for quantitative analysis models. 2) In the early 1900s, Henry Ford
pioneered the principles of the scientific approach to management.3) Managers do not need to be familiar
with the limitations, assumptions, and/or specific applicability of the
quantitative analysis technique to use it for accurate decision making.4) During World War II, many new
scientific and quantitative techniques were developed to assist the military,
and these developments were so successful that many companies started using
similar techniques in managerial decision making and planning after the war.5) Business Analytics is a data-driven
approach to decision making that allows companies to make better decisions. 6) Descriptive Analytics is aimed at
forecasting future outcomes based on patterns in the past data. 7) When a problem is difficult to
quantify, it may be necessary to develop unspecific objectives.8) The Quantitative Analysis Approach
consists of six steps.9) A mathematical model shows the
relationship between quantifiable and non-quantifiable information.10) Decision variables may also be called
parameters.11) Model variables can be controllable or
uncontrollable.12) A series of steps or procedures that
are repeated is known as an algorithm.13) A model is a representation of a
situation.14) A parameter is a measurable quantity
that may vary or is subject to change.15) Trying various approaches and picking
the one resulting in the best decision is called incomplete enumeration.16) All problems can be solved by
considering only the quantitative issues.17) A profit equation is an example of a
schematic model.18) Testing the data and model should be
done before the results have been analyzed.19) Sensitivity analysis helps us estimate
the effect of known and unknown errors in our model.20) Models can help us analyze a problem
and sell a decision to those who must implement it.21) A sensitivity analysis allows a
manager to answer the “what if” questions.22) One problem in using a quantitative
model is that the necessary data may be unavailable.23) Management support and user
involvement are not essential in the successful implementation of quantitative
analysis projects.mcq24) Which of the following terms is
interchangeable with quantitative analysis?A) management scienceB) economicsC) financial analysisD) statisticsE) None of the above25) Operations Research is known asA) the science of numerical analysis.B) the science of sensitivity analysis.C) the science of better.D) the science of modeling.E) None of the above26) Who is credited with pioneering the
principles of the scientific approach to management?A) Adam SmithB) Henri FayolC) John R. LockeD) Frederick W. TaylorE) Charles Babbage27) Which of the following techniques
involves the study and consolidation of historical data for a business and an
industry?A) descriptive analyticsB) prescriptive analyticsC) predictive analyticsD) management scienceE) operations research28) Which of the following techniques
involves the use of optimization methods to provide new and better ways to
operate based on specific business objectives?A) descriptive analyticsB) prescriptive analyticsC) predictive analyticsD) quantitative analysisE) qualitative analysisAnswer:
BDiff: 2Topic: BUSINESS ANALYTICS29) A(n) ________ is a representation of
reality or a real-life situation.A) objectiveB) modelC) analysisD) algorithmE) None of the above30) A measurable quantity that may vary,
or is subject to change, and can be controlled is known as a(n)A) decision variable.B) algorithm.C) parameter.D) solution.E) None of the above31) A set of logical and mathematical
operations performed in a specific sequence is called a(n)A) complete enumeration.B) diagnostic analysis.C) algorithm.D) objective.E) None of the above32) 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.A) sensitivityB) implicitC) normalD) scaleE) objective33) Which of the following is not
one of the steps in the quantitative analysis approach?A) Defining the ProblemB) Developing a SolutionC) Observing a hypothesisD) Testing a SolutionE) Implementing the Results34) The condition of improper data
yielding misleading results is referred to asA) garbage in, garbage out.B) break-even point.C) uncontrollable variable.D) postoptimality.E) None of the above35) Expressing profits through the
relationship among unit price, fixed costs, and variable costs is an example ofA) a sensitivity analysis model.B) a quantitative analysis model.C) a postoptimality relationship.D) a parameter specification model.E) None of the above36) The widespread applicability of
operations research methods to business followed which war?A) The U.S. Civil WarB) World War IC) World War IID) The Korean WarE) The Vietnam War37) Which of the following statement(s)
are true regarding the advantages of mathematical modeling?A) Models accurately represent reality.B) Models can help decision makers
formulate problems.C) Models can save time.D) Models may be the only way to solve
some large and complex problems in a timely manner.E) All of the above38) A measurable quantity that is inherent
in the problem is called a(n)A) decision variable.B) uncontrollable variable.C) algorithm.D) parameter.E) enumeration variable.39) Trying various approaches and picking
the one that results in the best decision is calledA) the trial-and-error method.B) incomplete enumeration.C) complete enumeration.D) algorithmic approximation.E) sensitivity analysis.40) Models that do not involve risk or
chance areA) probabilistic models.B) postoptimality models.C) deterministic models.D) MIS models.E) None of the above41) If input data are accurate to three
significant digits, then the solution results can be accurate to how many
significant digits?A) oneB) twoC) threeD) fourE) six42) Postoptimality analysis is most
closely associated withA) collecting input data.B) developing a model.C) sensitivity analysis.D) writing a computer program.E) None of the above43) The break-even point is an example of
aA) postoptimality model.B) quantitative analysis model.C) schematic model.D) sensitivity analysis model.E) None of the above44) A controllable variable is also called
aA) parameter.B) decision variable.C) mathematical model.D) measurable quantity.E) None of the above45) Evaluating all possible values of a
variable in a model is calledA) trial and error.B) complete enumeration.C) an algorithm.D) variablization.E) None of the above46) What is the formula for the break-even
point of a simple profit model?A) Fixed Cost / Variable Cost Per UnitB) (Selling Price Per Unit – Variable Cost
Per Unit) / Fixed CostC) Fixed Cost / (Selling Price Per Unit –
Variable Cost Per Unit)D) Fixed Cost / (Variable Cost Per Unit –
Selling Price Per Unit)E) Selling Price Per Unit – (Fixed Cost /
Variable Cost Per Unit)47) The break-even point of a simple
profit model represents a(n)A) decision variable.B) uncontrollable variable.C) parameter.D) constant.E) None of the above48) A(n) ________ model is one that is
accurate and correctly represents the problem or system under investigation.A) robustB) validC) sensitiveD) optimalE) feasible49) Which Excel feature is an optimization
technique that can maximize or minimize a quantity given a set of limitations
or constraints?A) OptimizerB) Goal SeekC) Analysis Tool-PakD) Algorithm BuilderE) Solver50) Which Excel feature allows the user to
specify a target or goal and the variable that is desired to change in order to
achieve that goal?A) SolverB) Goal SearchC) Target SearchD) Goal SeekE) Target Seek51) All of the following are real computer
applications that perform quantitative analysis exceptA) Solver in Excel.B) Goal Seek in Excel.C) Excel QM.D) POM-QM for Windows.E) QA for Windows.52) As one attempts to develop a model,
which of the following problems might she encounter?A) The problem may not fit a textbook
approach.B) There will be no data available to test
the model.C) Not everyone will understand the
problem in the same way.D) All of the aboveE) None of the above53) Which of the following is a picture,
drawing, or chart of reality?A) scale modelB) physical modelC) mathematical modelD) schematic modelE) abstract model54) Which of the following is not
considered a possible problem in the quantitative analysis approach?A) validity of the dataB) lack of commitmentC) resistance to changeD) subjective solutionsE) hard-to-understand mathematics55) Quantitative analysis is ________.?56) Identify the steps of the quantitative
analysis approach.57) What are the three categories of
business analytics?58) The study of the consolidation of
historical data to describe how a company has performed in the past is called
________.called ________. 60) The use of optimization methods to
provide new and better ways to operate based on specific business objectives is
called ________. 61) A controllable variable is also called
a ________ variable.62) A picture, drawing, or chart of reality
is a ________ model63) Identify some possible problems in the
quantitative analysis approach.64) Identify three potential problems with
people (two with management and one with the quantitative analysts themselves)
that may hinder successful implementation of a quantitative model.65) In making a decision, both ________
and quantitative factors must be considered.66) Inaccurate model input data leads to
inaccurate model solutions. This phenomenon is commonly referred to as
________.67) The solution process of ________
implies that we look at all possible solutions.Complete enumeration68) Once we have a solution, we should
then perform ________ analysis.69) ________ models do not involve risk or
chance.70) ________ models are uncertain.71) How can an analyst overcome the
threats to successful implementation of a quantitative model?