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Examen

Test Bank for Introduction to Business Analytics 1st Edition: Chapter-by-Chapter Assessments, Answer Keys, and Case Studies

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Subido en
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Escrito en
2024/2025

This test bank accompanies the Introduction to Business Analytics 1st Edition textbook by Richardson and Watson. It includes over 500 graded assessment questions (true/false, multiple-choice, essay) covering all 11 chapters of business analytics fundamentals. Key topics include the SOAR analytics model, data types, visualization techniques, descriptive/diagnostic/predictive/prescriptive analytics, regression analysis, hypothesis testing, and real-world case studies (e.g., customer profitability, inventory optimization). The document features: Chapter-specific questions with answer keys. Excel, Tableau, and Power BI lab exercises. Real business scenarios (e.g., mowing business profitability, trade war impact analysis). Emphasis on data ethics, big data (volume/veracity/variety/velocity), and practical applications

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Introduction To Business Analytics
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Institución
Introduction to Business Analytics
Grado
Introduction to Business Analytics

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Subido en
17 de junio de 2025
Número de páginas
275
Escrito en
2024/2025
Tipo
Examen
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,Answers are at the End of Each Chapter

Chapter 1
Student name:
TRUE/FALSE - Write 'T' if the statement is true and 'F' if the statement is false.
1) A business process is a coordinated, standardized set of activities conducted by both people
and equipment to accomplish a specific business task.
⊚ true
⊚ false

2) A business analyst is a data scientist who collects data to help an organization make
effective business decisions.
⊚ true
⊚ false

3) Data is defined as information organized in a meaningful way to be useful to the user.
⊚ true
⊚ false

4) Information is defined as being data organized in a meaningful way to be useful to the user in
a given context.
⊚ true
⊚ false

5) A data scientist is a liaison between decision makers and business analysts.
⊚ true
⊚ false

6) Operations analytics uses business analytics to measure and improve the efficiency and
effectiveness of the company’s operations.
⊚ true
⊚ false

,7) The third step in the SOAR analytics model is to Access the data.
⊚ true
⊚ false

8) Exploratory data visualization is used to communicate results of the analysis to decision
makers and other stakeholders.
⊚ true
⊚ false

CHECK ALL THE APPLY. Choose all options that best completes the statement or
answers the question.
9) A visualization may be used to help with which component of the SOAR model?
A) Specify the Question
B) Obtain the Data
C) Analyze the Data
D) Report the Results

MULTIPLE CHOICE - Choose the one alternative that best completes the statement or
answers the question.
10) The difficulty a person faces in understanding a problem and making a decision as a
consequence of having too much data.
A) Data Complexity
B) Data Overload
C) Analytics Mindset
D) Data Challenges

11) Which step of the SOAR model would usually involve computing an average?
A) Specify the Question
B) Obtain the Data
C) Analyze the Data
D) Report the Results

12) Which step of the SOAR model most appropriately addresses the skill mentioned by EY’s
analytics mindset of “extract, transform and load relevant data”?
A) Specify the Question
B) Obtain the Data
C) Analyze the Data
D) Report the Results

, 13) Use of a dashboard to track relevant outcomes would be consistent with which component of
the SOAR model?
A) Specify the Question
B) Obtain the Data
C) Analyze the Data
D) Report the Results

14) What type of question(s) works to explain “Why did net income increase even though sales
did not?”
A) What happened? What is happening?
B) Why did it happen? What are the root causes of past results?
C) Will it happen in the future? What is the probability something will happen? Is it
forecastable?
D) What should we do based on what we expect will happen? How do we optimize our
performance based on potential constraints?

15) What type of question is used in finding the level of sales needed to break even (exactly zero
profit)?
A) What happened? What is happening?
B) Why did it happen? What are the root causes of past results?
C) Will it happen in the future? What is the probability something will happen? Is it
forecastable?
D) What should we do based on what we expect will happen? How do we optimize our
performance based on potential constraints?

16) What type of question is “How long will it take for Christmas products to arrive at our stores
if we source the products from Mexico rather than Indonesia?”
A) What happened? What is happening?
B) Why did it happen? What are the root causes of past results?
C) Will it happen in the future? What is the probability something will happen? Is it
forecastable?
D) What should we do based on what we expect will happen? How do we optimize our
performance based on potential constraints?
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