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Solution Manual for Introduction to Business Analytics, 1st Edition by Vernon Richardson & Marcia Watson | Complete Answers & Explanations (Updated 2025/2026)

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Access the complete Solution Manual for Introduction to Business Analytics (1st Edition) by Vernon Richardson and Marcia Watson, fully updated for 2025/2026. Includes step-by-step solutions, verified answers, and detailed explanations for every problem, exercise, and case in the textbook. Covers all chapters from the 1st Edition Verified and accurate solutions with clear explanations Perfect for assignments, quizzes, and exam preparation Ideal for business, data analytics, and information systems students Designed to support understanding of analytics concepts and data-driven decision making This Introduction to Business Analytics Solution Manual is the ultimate resource to save time, study effectively, and master analytical problem-solving.

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Introduction To Business Analytics, 1st Edition
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Introduction to Business Analytics, 1st Edition











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Institution
Introduction to Business Analytics, 1st Edition
Course
Introduction to Business Analytics, 1st Edition

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Uploaded on
October 13, 2025
Number of pages
218
Written in
2025/2026
Type
Exam (elaborations)
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Chapter 01 – Specify the Question: Using Business Analytics to Address Business Questions


Solution Manual for Introduction to Business Analytics,
1st Edition
By Vernon Richardson and Marcia Watson
Verified Chapter's 1 - 12 | Complete

, Chapter 01 – Specify the Question: Using Business Analytics to Address Business Questions




TABLE OF CONTENTS
Chapter 1: Specify the Question: Using Business Analytics to Address Business Questions

Chapter 2: Obtain the Data: An Introduction to Business Data Sources

Chapter 3: Analyze the Data: Basic Statistics and Tools Required in Business Analytics

Chapter 4: Analyze the Data: Exploratory Business Analytics (Descriptive Analytics and Diagnostic Analytics)

Chapter 5: Analyze the Data: Confirmatory Business Analytics (Predictive Analytics and Prescriptive Analytics)

Chapter 6: Report the Results: Using Data Visualization

Chapter 7: Marketing Analytics

Chapter 8: Accounting Analytics

Chapter 9: Financial Analytics

Chapter 10: Operations Analytics

Chapter 11: Advanced Business Analytics

Chapter 12: Using the SOAR Analytics Model to Put It All Together: Three Capstone Projects

, Chapter 01 – Specify the Question: Using Business Analytics to Address Business Questions



Chapter 1 End-of-Chapter Assignment Solutions
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Multiple Choice Questions
D D




1. (LO 1.1) A coordinated, standardized set of activities conducted by both people and equipment to
D D D D D D D D D D D D D D


accomplish aspecific business task is called
D D D . D D D D


a. business processes D


b. business analysis D


c. business procedure D


d. business value D




2. (LO 1.2) According to the information value chain, data combined with context is
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a. Information.
b. Knowledge.
c. Insight.
d. Value.

3. (LO 1.5) Which phase of the SOAR analytics model addresses the proper way to communicate results to
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thedecision maker?
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a. Specify the question D D


b. Obtain the data D D


c. Analyze the data D D


d. Report the results D D




4. (LO 1.5) Which phase of the SOAR analytics model involves finding the most appropriate data needed to
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addressthe business question?
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a. Specify the question D D


b. Obtain the data D D


c. Analyze the data D D


d. Report the results D D




5. (LO 1.5) Which questions seek information about Tesla’s sales in the next quarter?
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a. What happened? What is happening?
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b. Why did it happen? What are the causes of past results?
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c. Will it happen in the future? What is the probability something will happen? Can we forecast
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whatwill happen?
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d. What should we do, based on what we expect will happen? How do we optimize our performance
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basedon potential constraints?
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6. (LO 1.5) Which questions seek information on the routing of products from Queretaro, Mexico to
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Chicago,United States in the last quarter?
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a. What happened? What is happening?
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b. Why did it happen? What are the causes of past results?
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c. Will it happen in the future? What is the probability something will happen? Can we forecast what
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willhappen?
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d. What should we do, based on what we expect will happen? How do we optimize our performance
D D D D D D D D D D D D D D D D


basedon potential constraints?
D D D D

, Chapter 01 – Specify the Question: Using Business Analytics to Address Business Questions
7. (LO 1.5) Which questions ask why net income is increasing when revenues are decreasing,
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counter toexpectations?
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a. What happened? What is happening? D D D D


b. Why did it happen? What are the causes of past results?
D D D D D D D D D D


c. Will it happen in the future? What is the probability something will happen? Can we forecast what
D D D D D D D D D D D D D D D D


willhappen?
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d. What should we do, based on what we expect will happen? How do we optimize our performance
D D D D D D D D D D D D D D D D


basedon potential constraints?
D D D D




8. (LO 1.5) Which questions help managers understand how to organize future shipments based on
D D D D D D D D D D D D D


expecteddemand?
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a. What happened? What is happening? D D D D


b. Why did it happen? What are the causes of past results?
D D D D D D D D D D


c. Will it happen in the future? What is the probability something will happen? Can we forecast what
D D D D D D D D D D D D D D D D


willhappen?
D D


d. What should we do, based on what we expect will happen? How do we optimize our
D D D D D D D D D D D D D D D


performancebased on potential constraints?
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9. (LO 1.5) Which term refers to the combined accuracy, validity, and consistency of data stored and used
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overtime?
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a. Data integrity D


b. Data overload D


c. Data value D


d. Information value D




10. (LO 1.3) A specialist who knows how to work with, manipulate, and statistically test data is a
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a. decision maker. D


b. data scientist. D


c. data analyst. D


d. decision scientist. D




11. (LO 1.4) Which type of analysts predicts the amount of money that a company will receive from its
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customers tohelp management evaluate future investments based on expected investment performance,
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such as investments in equipment or employee training?
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a. Marketing analyst D


b. Operations analyst D


c. Financial analyst D


d. Accounting analyst D




12. (LO 1.4) Which type of analyst addresses questions regarding tax and auditing?
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a. Marketing analyst D


b. Operations analyst D


c. Financial analyst D


d. Accounting analyst D




13. (LO 1.5) Suppose a company has timely product reviews that are available when needed, but the reviews
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arebiased. These product reviews are which type of data?
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a. Reliable
b. Relevant
c. Curated
d. Consistent
© DMcGraw DHill DLLC. DAll Drights Dreserved. DNo Dreproduction Dor Ddistribution Dwithout Dthe Dprior Dwritten Dconsent Dof DMcGraw DHill DLLC.



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