,TESTBANK for Business Analytics , 5th Edition
Jeffrey D. Camm
Notes
1- All Chapters are step by step.
2- We have shown you 10 pages.
3- The file contains all Appendix and Excel
sheet if it exists.
4- We have all what you need, we make
update at every time. There are many new
editions waiting you.
5- If you think you purchased the wrong file
You can contact us at every time, we can
replace it with true one.
Our email:
,Name: Class: Date:
Chapter 01 - Introduction to Business Analytics
Multiple Choice
1. The decisions concerning an organization’s goals and future plans are called _____.
a. financial decisions
b. tactical decisions
c. strategic decisions
d. operational decisions
ANSWER: c
2. Tactical decisions are concerned with _____.
a. the day-to-day activities of the organization
b. the goals and plans of the organization
c. the domain of operations managers, who are close to the customer
d. how the organization should achieve the goals and objectives set by its strategy
ANSWER: d
3. Picks and Axes Inc. is an Internet-based retail seller of hiking boots and mountaineering gear. The company decides to
open retail stores across the major areas of the city to help complement its Internet-based strategy. This activity would be
categorized as a(n) _____.
a. tactical decision
b. operational decision
c. strategic decision
d. financial decision
ANSWER: c
4. What is the most critical step of the decision-making process?
a. Choosing an alternative
b. Identifying and defining the problem
c. Evaluating the alternatives
d. Determining the set of alternatives
ANSWER: b
5. Which of the following is NOT an approach to making decisions?
a. Tradition
b. Rules of thumb
c. Intuition
d. Guess and check
ANSWER: d
6. Data-driven decision making tends to decrease a firm's _____.
a. market value
b. productivity
c. risk
d. profit
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,Name: Class: Date:
Chapter 01 - Introduction to Business Analytics
ANSWER: c
7. Data dashboards are what type of analytics?
a. Predictive
b. Descriptive
c. Prescriptive
d. Decision
ANSWER: b
8. The extraction of information on the number of shipments, how much was included in each shipment, the date each
shipment was sent, and so on from the manufacturing plant’s database exemplifies _____.
a. spreadsheet models
b. data dashboards
c. data mining
d. data queries
ANSWER: d
9. Which of the following do corporate-level managers use to summarize sales by region, current inventory levels, and
other company-wide metrics all in a single screen?
a. Simulations
b. Cross-tabulations
c. Data dashboards
d. Tables
ANSWER: c
10. A forecast that helps direct police officers to areas where crimes are likely to occur based on past data is an example
of _____.
a. predictive analytics
b. decision analysis
c. prescriptive analytics
d. descriptive analytics
ANSWER: a
11. Which one of the following is used in predictive analytics?
a. Data dashboard
b. Linear regression
c. Data visualization
d. Optimization model
ANSWER: b
12. A retail store owner offers a discount on product A and predicts that the customers would purchase products B and C
in addition to product A. Identify the technique used to make such a prediction.
a. Data query
b. Simulation
c. Data mining
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,Name: Class: Date:
Chapter 01 - Introduction to Business Analytics
d. Data dashboards
ANSWER: c
13. Which of the following is used in the pharmaceutical industry to assess the risk of introducing a new drug?
a. Data dashboard
b. Chart
c. Spreadsheet model
d. Simulation
ANSWER: d
14. Which of the following analytical techniques helps us arrive at the best decision?
a. Predictive analytics
b. Data mining
c. Prescriptive analytics
d. Descriptive analytics
ANSWER: c
15. Simulation optimization helps _____.
a. in identifying the constraints of the situation
b. to find good decisions in highly complex and highly uncertain settings
c. in assigning values to outcomes
d. to model certainty using optimization techniques
ANSWER: b
16. A decision maker faced with several alternatives and an uncertain set of future events uses what to develop an optimal
strategy?
a. Utility theory
b. Predictive analytics
c. Data mining
d. Decision analysis
ANSWER: d
17. What assigns values to outcomes based on the decision maker’s attitude toward risk, loss, and other factors?
a. Simulation optimization
b. Utility theory
c. Optimization model
d. Data dashboard
ANSWER: b
18. Which of the following best exemplifies big data?
a. Five hundred Facebook users upload one thousand pictures per day.
b. Cellphone owners around the world generate vast amounts of data by calling, texting, tweeting, and browsing
the Web on a daily basis.
c. A local grocery store collects data from those that scan their loyalty card.
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,Name: Class: Date:
Chapter 01 - Introduction to Business Analytics
d. A pharmacy keeps track of customer purchases to send its customers coupons.
ANSWER: b
19. Which of the following sources of big data is NOT publicly available?
a. Twitter
b. Weather data
c. Medical records
d. Sports records
ANSWER: c
20. Advanced analytics generally refers to _____.
a. descriptive and prescriptive analytics
b. simulation
c. predictive and prescriptive analytics
d. decision analysis
ANSWER: c
21. In the financial sector, what models are used to construct financial instruments such as derivatives?
a. Descriptive and prescriptive
b. Predictive
c. Descriptive
d. Prescriptive
ANSWER: b
22. Optimization models can be used to _____.
a. assess the risk of investment portfolios
b. forecast future financial performance
c. successfully manage commercial real estate risk
d. decide on how to invest cash received from insurance policies
ANSWER: d
23. What does utility theory study that basically means the relative desirability of a particular outcome that reflects the
decision maker’s attitude toward a collection of factors, such as profit, loss, and risk?
a. Total worth
b. Total cost
c. Feasibility
d. Financial wellness
ANSWER: a
24. What technology allows data, collected from sensors in all types of machines, to be sent over the Internet to
repositories where it can be stored and analyzed?
a. Internet of Things (IoT)
b. MapReduce
c. Hadoop
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,Name: Class: Date:
Chapter 01 - Introduction to Business Analytics
d. Advanced analytics
ANSWER: a
25. Which of the following is a programming model used within Hadoop that performs the map step and the reduce step?
a. MapReduce
b. Internet of Things (IoT)
c. Advanced analytics
d. Optimization model
ANSWER: a
26. An open-source programming environment that supports big data processing through distributed storage and
distributed processing on clusters of computers is _____.
a. Hadoop
b. Excel
c. Java
d. MapReduce
ANSWER: a
27. What techniques use models, constructed from past data, to predict the future or to ascertain the impact of one variable
on another?
a. Predictive analytics
b. Descriptive analytics
c. Simulation
d. Prescriptive analytics
ANSWER: a
28. Which type of decision involves higher-level issues and is concerned with the overall direction of the organization,
defining the overarching goals and aspirations for the organization’s future?
a. Strategic
b. Tactical
c. Intuitive
d. Operational
ANSWER: a
29. Which decision is concerned with how the organization should achieve the goals and objectives set by its strategy?
a. Tactical
b. Strategic
c. Intuitive
d. Operational
ANSWER: a
30. What type of analytics uses techniques that take input data and yield a best course of action?
a. Prescriptive
b. Simulation
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,Name: Class: Date:
Chapter 01 - Introduction to Business Analytics
c. Strategic
d. Operational
ANSWER: a
31. In the spectrum of business analytics, which is the most complex?
a. Descriptive
b. Predictive
c. Prescriptive
d. Operational
ANSWER: c
32. In order to manage an organization’s human resource activities, such as hiring employees, tracking, and influencing
employee retention, HR personnel use _____.
a. both descriptive and predictive analytics
b. both descriptive and prescriptive analytics
c. both predictive and prescriptive analytics
d. only predictive analytics
ANSWER: a
33. A clearer understanding of consumer behavior through analytics directly leads to _____.
a. more profits
b. better pricing strategies
c. reduced advertising costs
d. reduced risk
ANSWER: b
34. A light bulb manufacturer uses descriptive analytics to _____.
a. present supply chain to managers visually
b. achieve efficiency in delivery of goods
c. schedule staff and vehicle for delivery
d. plan capacity utilization by incorporating the inherent uncertainty in commodities pricing
ANSWER: a
35. What does the U.S. Internal Revenue Service use to identify patterns that distinguish questionable annual personal
income tax filings?
a. Utility theory
b. Prescriptive analytics
c. Data mining
d. Decision analysis
ANSWER: c
Subjective Short Answer
36. _____ may be used to develop an optimal strategy when a decision maker is faced with several decision alternatives
and an uncertain set of future events.
Copyright Cengage Learning. Powered by Cognero. Page 6
,Name: Class: Date:
Chapter 01 - Introduction to Business Analytics
ANSWER: Decision analysis
37. An increase in data _____ would help to protect stored data from destructive forces or unauthorized users.
ANSWER: security
38. _____ are analytical tools that describe what has happened.
ANSWER: Descriptive analytics
39. The use of analytical techniques for better understanding patterns and relationships that exist in large data sets is
_____.
ANSWER: data mining
40. A dashboard is a collection of tables, charts, and maps to help management _____ selected aspects of the company’s
performance.
ANSWER: monitor
41. A decision concerned with how the organization is run from day to day is known as a(n) _____.
ANSWER: operational decision
42. A mathematical model that gives the best decision, subject to the situation’s constraints, is a(n) _____.
ANSWER: optimization model
43. A data _____ is a request to obtain information with certain characteristics from a database.
ANSWER: query
44. Business analytics is the _____ process of transforming data into insight for making better decisions.
ANSWER: scientific
45. A data _____ is trained in both computer science and statistics and knows how to effectively process and analyze large
amounts of data.
ANSWER: scientist
46. The use of probability and statistics to construct a computer model to study the impact of uncertainty on the decision
at hand is called _____.
ANSWER: simulation
47. Predictive and prescriptive analytics can also be referred to as _____.
ANSWER: advanced analytics
48. _____ analytics is the analysis of online activity, such as visits to websites or social media.
ANSWER: Web
49. One of the 4 Vs of big data that refers to uncertainty due to data inconsistency and incompleteness, ambiguities,
latency, deception, and model approximations is _____.
ANSWER: veracity
50. Data that are too large or too complex to be handled by standard data-processing techniques and typical desktop
software are called _____.
Copyright Cengage Learning. Powered by Cognero. Page 7
, Name: Class: Date:
Chapter 01 - Introduction to Business Analytics
ANSWER: big data
51. Veracity has to do with how much _____is in the data.
ANSWER: uncertainty
52. What are the four Vs of big data?
ANSWER: Volume, Velocity, Variety, Veracity
Copyright Cengage Learning. Powered by Cognero. Page 8
Jeffrey D. Camm
Notes
1- All Chapters are step by step.
2- We have shown you 10 pages.
3- The file contains all Appendix and Excel
sheet if it exists.
4- We have all what you need, we make
update at every time. There are many new
editions waiting you.
5- If you think you purchased the wrong file
You can contact us at every time, we can
replace it with true one.
Our email:
,Name: Class: Date:
Chapter 01 - Introduction to Business Analytics
Multiple Choice
1. The decisions concerning an organization’s goals and future plans are called _____.
a. financial decisions
b. tactical decisions
c. strategic decisions
d. operational decisions
ANSWER: c
2. Tactical decisions are concerned with _____.
a. the day-to-day activities of the organization
b. the goals and plans of the organization
c. the domain of operations managers, who are close to the customer
d. how the organization should achieve the goals and objectives set by its strategy
ANSWER: d
3. Picks and Axes Inc. is an Internet-based retail seller of hiking boots and mountaineering gear. The company decides to
open retail stores across the major areas of the city to help complement its Internet-based strategy. This activity would be
categorized as a(n) _____.
a. tactical decision
b. operational decision
c. strategic decision
d. financial decision
ANSWER: c
4. What is the most critical step of the decision-making process?
a. Choosing an alternative
b. Identifying and defining the problem
c. Evaluating the alternatives
d. Determining the set of alternatives
ANSWER: b
5. Which of the following is NOT an approach to making decisions?
a. Tradition
b. Rules of thumb
c. Intuition
d. Guess and check
ANSWER: d
6. Data-driven decision making tends to decrease a firm's _____.
a. market value
b. productivity
c. risk
d. profit
Copyright Cengage Learning. Powered by Cognero. Page 1
,Name: Class: Date:
Chapter 01 - Introduction to Business Analytics
ANSWER: c
7. Data dashboards are what type of analytics?
a. Predictive
b. Descriptive
c. Prescriptive
d. Decision
ANSWER: b
8. The extraction of information on the number of shipments, how much was included in each shipment, the date each
shipment was sent, and so on from the manufacturing plant’s database exemplifies _____.
a. spreadsheet models
b. data dashboards
c. data mining
d. data queries
ANSWER: d
9. Which of the following do corporate-level managers use to summarize sales by region, current inventory levels, and
other company-wide metrics all in a single screen?
a. Simulations
b. Cross-tabulations
c. Data dashboards
d. Tables
ANSWER: c
10. A forecast that helps direct police officers to areas where crimes are likely to occur based on past data is an example
of _____.
a. predictive analytics
b. decision analysis
c. prescriptive analytics
d. descriptive analytics
ANSWER: a
11. Which one of the following is used in predictive analytics?
a. Data dashboard
b. Linear regression
c. Data visualization
d. Optimization model
ANSWER: b
12. A retail store owner offers a discount on product A and predicts that the customers would purchase products B and C
in addition to product A. Identify the technique used to make such a prediction.
a. Data query
b. Simulation
c. Data mining
Copyright Cengage Learning. Powered by Cognero. Page 2
,Name: Class: Date:
Chapter 01 - Introduction to Business Analytics
d. Data dashboards
ANSWER: c
13. Which of the following is used in the pharmaceutical industry to assess the risk of introducing a new drug?
a. Data dashboard
b. Chart
c. Spreadsheet model
d. Simulation
ANSWER: d
14. Which of the following analytical techniques helps us arrive at the best decision?
a. Predictive analytics
b. Data mining
c. Prescriptive analytics
d. Descriptive analytics
ANSWER: c
15. Simulation optimization helps _____.
a. in identifying the constraints of the situation
b. to find good decisions in highly complex and highly uncertain settings
c. in assigning values to outcomes
d. to model certainty using optimization techniques
ANSWER: b
16. A decision maker faced with several alternatives and an uncertain set of future events uses what to develop an optimal
strategy?
a. Utility theory
b. Predictive analytics
c. Data mining
d. Decision analysis
ANSWER: d
17. What assigns values to outcomes based on the decision maker’s attitude toward risk, loss, and other factors?
a. Simulation optimization
b. Utility theory
c. Optimization model
d. Data dashboard
ANSWER: b
18. Which of the following best exemplifies big data?
a. Five hundred Facebook users upload one thousand pictures per day.
b. Cellphone owners around the world generate vast amounts of data by calling, texting, tweeting, and browsing
the Web on a daily basis.
c. A local grocery store collects data from those that scan their loyalty card.
Copyright Cengage Learning. Powered by Cognero. Page 3
,Name: Class: Date:
Chapter 01 - Introduction to Business Analytics
d. A pharmacy keeps track of customer purchases to send its customers coupons.
ANSWER: b
19. Which of the following sources of big data is NOT publicly available?
a. Twitter
b. Weather data
c. Medical records
d. Sports records
ANSWER: c
20. Advanced analytics generally refers to _____.
a. descriptive and prescriptive analytics
b. simulation
c. predictive and prescriptive analytics
d. decision analysis
ANSWER: c
21. In the financial sector, what models are used to construct financial instruments such as derivatives?
a. Descriptive and prescriptive
b. Predictive
c. Descriptive
d. Prescriptive
ANSWER: b
22. Optimization models can be used to _____.
a. assess the risk of investment portfolios
b. forecast future financial performance
c. successfully manage commercial real estate risk
d. decide on how to invest cash received from insurance policies
ANSWER: d
23. What does utility theory study that basically means the relative desirability of a particular outcome that reflects the
decision maker’s attitude toward a collection of factors, such as profit, loss, and risk?
a. Total worth
b. Total cost
c. Feasibility
d. Financial wellness
ANSWER: a
24. What technology allows data, collected from sensors in all types of machines, to be sent over the Internet to
repositories where it can be stored and analyzed?
a. Internet of Things (IoT)
b. MapReduce
c. Hadoop
Copyright Cengage Learning. Powered by Cognero. Page 4
,Name: Class: Date:
Chapter 01 - Introduction to Business Analytics
d. Advanced analytics
ANSWER: a
25. Which of the following is a programming model used within Hadoop that performs the map step and the reduce step?
a. MapReduce
b. Internet of Things (IoT)
c. Advanced analytics
d. Optimization model
ANSWER: a
26. An open-source programming environment that supports big data processing through distributed storage and
distributed processing on clusters of computers is _____.
a. Hadoop
b. Excel
c. Java
d. MapReduce
ANSWER: a
27. What techniques use models, constructed from past data, to predict the future or to ascertain the impact of one variable
on another?
a. Predictive analytics
b. Descriptive analytics
c. Simulation
d. Prescriptive analytics
ANSWER: a
28. Which type of decision involves higher-level issues and is concerned with the overall direction of the organization,
defining the overarching goals and aspirations for the organization’s future?
a. Strategic
b. Tactical
c. Intuitive
d. Operational
ANSWER: a
29. Which decision is concerned with how the organization should achieve the goals and objectives set by its strategy?
a. Tactical
b. Strategic
c. Intuitive
d. Operational
ANSWER: a
30. What type of analytics uses techniques that take input data and yield a best course of action?
a. Prescriptive
b. Simulation
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,Name: Class: Date:
Chapter 01 - Introduction to Business Analytics
c. Strategic
d. Operational
ANSWER: a
31. In the spectrum of business analytics, which is the most complex?
a. Descriptive
b. Predictive
c. Prescriptive
d. Operational
ANSWER: c
32. In order to manage an organization’s human resource activities, such as hiring employees, tracking, and influencing
employee retention, HR personnel use _____.
a. both descriptive and predictive analytics
b. both descriptive and prescriptive analytics
c. both predictive and prescriptive analytics
d. only predictive analytics
ANSWER: a
33. A clearer understanding of consumer behavior through analytics directly leads to _____.
a. more profits
b. better pricing strategies
c. reduced advertising costs
d. reduced risk
ANSWER: b
34. A light bulb manufacturer uses descriptive analytics to _____.
a. present supply chain to managers visually
b. achieve efficiency in delivery of goods
c. schedule staff and vehicle for delivery
d. plan capacity utilization by incorporating the inherent uncertainty in commodities pricing
ANSWER: a
35. What does the U.S. Internal Revenue Service use to identify patterns that distinguish questionable annual personal
income tax filings?
a. Utility theory
b. Prescriptive analytics
c. Data mining
d. Decision analysis
ANSWER: c
Subjective Short Answer
36. _____ may be used to develop an optimal strategy when a decision maker is faced with several decision alternatives
and an uncertain set of future events.
Copyright Cengage Learning. Powered by Cognero. Page 6
,Name: Class: Date:
Chapter 01 - Introduction to Business Analytics
ANSWER: Decision analysis
37. An increase in data _____ would help to protect stored data from destructive forces or unauthorized users.
ANSWER: security
38. _____ are analytical tools that describe what has happened.
ANSWER: Descriptive analytics
39. The use of analytical techniques for better understanding patterns and relationships that exist in large data sets is
_____.
ANSWER: data mining
40. A dashboard is a collection of tables, charts, and maps to help management _____ selected aspects of the company’s
performance.
ANSWER: monitor
41. A decision concerned with how the organization is run from day to day is known as a(n) _____.
ANSWER: operational decision
42. A mathematical model that gives the best decision, subject to the situation’s constraints, is a(n) _____.
ANSWER: optimization model
43. A data _____ is a request to obtain information with certain characteristics from a database.
ANSWER: query
44. Business analytics is the _____ process of transforming data into insight for making better decisions.
ANSWER: scientific
45. A data _____ is trained in both computer science and statistics and knows how to effectively process and analyze large
amounts of data.
ANSWER: scientist
46. The use of probability and statistics to construct a computer model to study the impact of uncertainty on the decision
at hand is called _____.
ANSWER: simulation
47. Predictive and prescriptive analytics can also be referred to as _____.
ANSWER: advanced analytics
48. _____ analytics is the analysis of online activity, such as visits to websites or social media.
ANSWER: Web
49. One of the 4 Vs of big data that refers to uncertainty due to data inconsistency and incompleteness, ambiguities,
latency, deception, and model approximations is _____.
ANSWER: veracity
50. Data that are too large or too complex to be handled by standard data-processing techniques and typical desktop
software are called _____.
Copyright Cengage Learning. Powered by Cognero. Page 7
, Name: Class: Date:
Chapter 01 - Introduction to Business Analytics
ANSWER: big data
51. Veracity has to do with how much _____is in the data.
ANSWER: uncertainty
52. What are the four Vs of big data?
ANSWER: Volume, Velocity, Variety, Veracity
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