, TESTBANK FOR Business Analytics 6th Edition Camm
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New editions are added regularly – stay connected for updates!
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, Business Analytics 6E (Camm) – Test Bank
Chapter 01: Introduction to Business Analytics
1. Which of the following best represents a strategic decision made by a company?
a. Determining the number of staff to schedule next week
✓ b. Deciding the type of aircraft to purchase for future fleet expansion
c. Selecting the supplier for this month's raw materials
d. Adjusting the sales target for the current quarter
2. A store manager deciding how many cashiers to schedule is making which type of
decision?
a. Strategic
b. Tactical
✓ c. Operational
d. Predictive
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
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
5. Which of the following is NOT an approach to making decisions?
a. Tradition
b. Rules of thumb
c. Intuition
✓ d. Guess and check
6. Data-driven decision making tends to decrease a firm's _____.
a. market value
b. productivity
✓ c. risk
d. profit
,7. An airline uses simulation to evaluate pricing strategies. This is an example of _____
analytics.
a. predictive
b. descriptive
✓ c. prescriptive
d. decision
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
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
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
11. Which one of the following is used in predictive analytics?
a. Data dashboard
✓ b. Linear regression
c. Data visualization
d. Optimization model
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
d. Data dashboards
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
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
15. What makes Generative AI different from traditional AI?
a. It does not require data.
✓ b. It generates new content such as text, images, or audio.
c. It only works in manufacturing.
d. It requires manual coding for every function.
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
17. Which of the following is an example of AI being used behind the scenes in business?
a. Using ChatGPT to write reports
✓ b. Recommendation engines suggesting online products
c. Handwriting notes in meetings
d. Filing taxes manually
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.
d. A pharmacy keeps track of customer purchases to send its customers coupons.
19. Which of the following sources of big data is NOT publicly available?
a. Twitter
b. Weather data
✓ c. Medical records
d. Sports records
20. A company analyzes customer tweets and call recordings. This demonstrates which “V” of
big data?
, a. Volume
✓ b. Variety
c. Veracity
d. Velocity
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
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
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
24. What is the main concern addressed by the veracity characteristic of big data?
a. The ethical use of algorithms
b. The real-time nature of streaming data
✓ c. The uncertainty or trustworthiness of data
d. The size and scope of data
25. Which of the following best defines artificial intelligence in business analytics?
a. Making decisions with no human involvement
b. Using rules and formulas to make graphs
✓ c. Using data and algorithms to enhance or automate decision making
d. Outsourcing decision making to external consultants
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
,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
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
29. Which type of 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
30. What type of analytics uses techniques that take input data and yield a best course of
action?
✓ a. Prescriptive
b. Simulation
c. Strategic
d. Operational
31. In the spectrum of business analytics, which is the most complex?
a. Descriptive
b. Predictive
✓ c. Prescriptive
d. Operational
32. In order to manage an organization’s human resources 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
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
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
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
36. Which analytics technique is used by HR departments to forecast employee turnover?
a. Prescriptive analytics
✓ b. Predictive analytics
c. Descriptive analytics
d. Supervised robotics
37. How do Coca-Cola Freestyle machines use business analytics?
a. To conduct employee evaluations
b. To track competitor pricing
✓ c. To collect customer drink preference data
d. To encrypt beverage formulas
38. In supply chain analytics, what is the new focus beyond efficiency?
a. Employee training
✓ b. Resiliency under disruption
c. Merging with HR analytics
d. Sentiment forecasting
39. According to INFORMS ethics, analytics professionals should _____.
a. prioritize speed over accuracy
b. withhold analysis from stakeholders
✓ c. be objective and transparent
d. focus only on profits
40. What ethical problem arises from using biased data in modeling?
a. Models perform faster.
b. Models reflect outdated software.
✓ c. Models lead to unfair decisions.
d. Models become more secure.
,41. What concern does Zeynep Tufecki raise about algorithmic recommendation systems?
a. They fail to collect enough data.
b. They are too expensive to implement.
✓ c. They unintentionally promote extreme content.
d. They violate consumer purchase rights.
Chapter 02: Descriptive Statistics
1. A quantity of interest that can take on different values is known as a(n) _____.
✓ a. variable
b. parameter
c. sample
d. observation
2. A set of values corresponding to a set of variables is defined as a(n) _____.
a. quantity
b. event
c. factor
✓ d. observation
3. The difference in a variable measured over observations (time, customers, items, etc.) is
known as _____.
a. observed differences
✓ b. variation
c. variable change
d. descriptive analytics
4. Which of the following acts as a representative of the population?
a. The variable
b. The variance
✓ c. A sample
d. A random variable
5. The act of collecting data that are representative of the population data is called _____.
✓ a. random sampling
b. sample data
c. population sampling
d. sources of data
6. The letter grades (A, B, C, D, F) of business analysis students are recorded by a professor.
This variable’s classification _____.
a. is quantitative data
b. cannot be determined
, ✓ c. is categorical data
d. is time series data
7. The amount of time taken by each of 10 students in a class to complete an exam is an
example of what type of data?
a. Cannot be determined
b. Categorical data
c. Time series data
✓ d. Quantitative data
8. Which data are collected from several entities at the same point in time?
a. Time series data
b. Categorical and quantitative data
✓ c. Cross-sectional data
d. Random data
9. Data collected from several entities over a period of time (minutes, hours, days, etc.) are
called _____.
a. categorical and quantitative data
✓ b. time series data
c. source data
d. cross-sectional data
10. In what study are one or more variables identified and controlled or manipulated so that
data can be obtained about how they influence the variable of interest identified first?
✓ a. Experimental study
b. Observational study
c. Categorical study
d. Variable study
11. The data collected from the customers in restaurants about the quality of food is an
example of a(n) _____.
a. variable study
b. cross-sectional study
c. experimental study
✓ d. observational study
12. When working with large spreadsheets with many rows of data, it can be helpful to do what
with the data to better find, view, or manage subsets of data?
a. Split
✓ b. Sort and filter
c. Chart
d. Manipulate
Important Notes
The file includes the complete test bank, organized chapter by chapter.
A sample of selected pages has been provided for preview.
All available appendices and Excel files (if included in the original resources) are
provided.
We continuously update our files to ensure you receive the latest and most accurate
editions.
New editions are added regularly – stay connected for updates!
⚠️Note on Answer Keys: If the answer key is not included within the chapter
questions, you will find the complete answers and solutions at the end of each
chapter.
✅ Why Buy From Us?
📚 Complete & organized chapter-by-chapter – no missing content, no guessing.
⚡ Instant digital delivery – get your file the moment you pay, no waiting.
📅 Always up to date – we track new editions so you always get the latest version.
💬 Friendly support – real humans ready to help, anytime you need us.
🔒 Safe & secure – thousands of satisfied students trust us every semester.
🛡️Our Guarantees
💰 Money-Back Guarantee: Not satisfied? We offer a full refund – no questions asked.
🔄 Wrong File? No Problem: Contact us and we will replace it immediately with the
correct version, free of charge.
⏰ 24/7 Support: We are always here – reach out anytime and expect a fast response.
Contact Email:
, Business Analytics 6E (Camm) – Test Bank
Chapter 01: Introduction to Business Analytics
1. Which of the following best represents a strategic decision made by a company?
a. Determining the number of staff to schedule next week
✓ b. Deciding the type of aircraft to purchase for future fleet expansion
c. Selecting the supplier for this month's raw materials
d. Adjusting the sales target for the current quarter
2. A store manager deciding how many cashiers to schedule is making which type of
decision?
a. Strategic
b. Tactical
✓ c. Operational
d. Predictive
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
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
5. Which of the following is NOT an approach to making decisions?
a. Tradition
b. Rules of thumb
c. Intuition
✓ d. Guess and check
6. Data-driven decision making tends to decrease a firm's _____.
a. market value
b. productivity
✓ c. risk
d. profit
,7. An airline uses simulation to evaluate pricing strategies. This is an example of _____
analytics.
a. predictive
b. descriptive
✓ c. prescriptive
d. decision
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
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
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
11. Which one of the following is used in predictive analytics?
a. Data dashboard
✓ b. Linear regression
c. Data visualization
d. Optimization model
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
d. Data dashboards
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
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
15. What makes Generative AI different from traditional AI?
a. It does not require data.
✓ b. It generates new content such as text, images, or audio.
c. It only works in manufacturing.
d. It requires manual coding for every function.
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
17. Which of the following is an example of AI being used behind the scenes in business?
a. Using ChatGPT to write reports
✓ b. Recommendation engines suggesting online products
c. Handwriting notes in meetings
d. Filing taxes manually
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.
d. A pharmacy keeps track of customer purchases to send its customers coupons.
19. Which of the following sources of big data is NOT publicly available?
a. Twitter
b. Weather data
✓ c. Medical records
d. Sports records
20. A company analyzes customer tweets and call recordings. This demonstrates which “V” of
big data?
, a. Volume
✓ b. Variety
c. Veracity
d. Velocity
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
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
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
24. What is the main concern addressed by the veracity characteristic of big data?
a. The ethical use of algorithms
b. The real-time nature of streaming data
✓ c. The uncertainty or trustworthiness of data
d. The size and scope of data
25. Which of the following best defines artificial intelligence in business analytics?
a. Making decisions with no human involvement
b. Using rules and formulas to make graphs
✓ c. Using data and algorithms to enhance or automate decision making
d. Outsourcing decision making to external consultants
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
,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
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
29. Which type of 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
30. What type of analytics uses techniques that take input data and yield a best course of
action?
✓ a. Prescriptive
b. Simulation
c. Strategic
d. Operational
31. In the spectrum of business analytics, which is the most complex?
a. Descriptive
b. Predictive
✓ c. Prescriptive
d. Operational
32. In order to manage an organization’s human resources 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
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
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
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
36. Which analytics technique is used by HR departments to forecast employee turnover?
a. Prescriptive analytics
✓ b. Predictive analytics
c. Descriptive analytics
d. Supervised robotics
37. How do Coca-Cola Freestyle machines use business analytics?
a. To conduct employee evaluations
b. To track competitor pricing
✓ c. To collect customer drink preference data
d. To encrypt beverage formulas
38. In supply chain analytics, what is the new focus beyond efficiency?
a. Employee training
✓ b. Resiliency under disruption
c. Merging with HR analytics
d. Sentiment forecasting
39. According to INFORMS ethics, analytics professionals should _____.
a. prioritize speed over accuracy
b. withhold analysis from stakeholders
✓ c. be objective and transparent
d. focus only on profits
40. What ethical problem arises from using biased data in modeling?
a. Models perform faster.
b. Models reflect outdated software.
✓ c. Models lead to unfair decisions.
d. Models become more secure.
,41. What concern does Zeynep Tufecki raise about algorithmic recommendation systems?
a. They fail to collect enough data.
b. They are too expensive to implement.
✓ c. They unintentionally promote extreme content.
d. They violate consumer purchase rights.
Chapter 02: Descriptive Statistics
1. A quantity of interest that can take on different values is known as a(n) _____.
✓ a. variable
b. parameter
c. sample
d. observation
2. A set of values corresponding to a set of variables is defined as a(n) _____.
a. quantity
b. event
c. factor
✓ d. observation
3. The difference in a variable measured over observations (time, customers, items, etc.) is
known as _____.
a. observed differences
✓ b. variation
c. variable change
d. descriptive analytics
4. Which of the following acts as a representative of the population?
a. The variable
b. The variance
✓ c. A sample
d. A random variable
5. The act of collecting data that are representative of the population data is called _____.
✓ a. random sampling
b. sample data
c. population sampling
d. sources of data
6. The letter grades (A, B, C, D, F) of business analysis students are recorded by a professor.
This variable’s classification _____.
a. is quantitative data
b. cannot be determined
, ✓ c. is categorical data
d. is time series data
7. The amount of time taken by each of 10 students in a class to complete an exam is an
example of what type of data?
a. Cannot be determined
b. Categorical data
c. Time series data
✓ d. Quantitative data
8. Which data are collected from several entities at the same point in time?
a. Time series data
b. Categorical and quantitative data
✓ c. Cross-sectional data
d. Random data
9. Data collected from several entities over a period of time (minutes, hours, days, etc.) are
called _____.
a. categorical and quantitative data
✓ b. time series data
c. source data
d. cross-sectional data
10. In what study are one or more variables identified and controlled or manipulated so that
data can be obtained about how they influence the variable of interest identified first?
✓ a. Experimental study
b. Observational study
c. Categorical study
d. Variable study
11. The data collected from the customers in restaurants about the quality of food is an
example of a(n) _____.
a. variable study
b. cross-sectional study
c. experimental study
✓ d. observational study
12. When working with large spreadsheets with many rows of data, it can be helpful to do what
with the data to better find, view, or manage subsets of data?
a. Split
✓ b. Sort and filter
c. Chart
d. Manipulate
