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Solution Manual for Introduction to Business Analytics 1st Edition – 100% Accurate Worked Solutions | Study Aid | Latest Update 2026 – Vernon Richardson & Marcia Weidenmier Watson

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Master business analytics with ease using this complete Solution Manual for Introduction to Business Analytics, 1st Edition — fully updated for 2026! This detailed solution manual is designed for students in business analytics, data analysis, management science, and related courses. It provides step-by-step, 100% accurate worked solutions to selected chapter problems, helping you understand analytical methods, apply tools correctly, and succeed in homework, assignments, and exams. Whether you’re working through descriptive statistics, predictive modeling, data visualization, or decision analytics, this solution manual supports your learning and clarifies problem-solving techniques commonly used in real business scenarios. What’s included: Comprehensive Solution Manual for Introduction to Business Analytics, 1st Edition 100% Accurate Worked Solutions to selected exercises Detailed explanations of analytical methods, formulas, and interpretation

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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
Multiple Choice Questions
1. (LO 1.1) A coordinated, standardized set of activities conducted by both people and equipment to accomplish a
specific business task is called .
a. business processes
b. business analysis
c. business procedure
d. business value

2. (LO 1.2) According to the information value chain, data combined with context is
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 the
decision maker?
a. Specify the question
b. Obtain the data
c. Analyze the data
d. Report the results

4. (LO 1.5) Which phase of the SOAR analytics model involves finding the most appropriate data needed to address
the business question?
a. Specify the question
b. Obtain the data
c. Analyze the data
d. Report the results

5. (LO 1.5) Which questions seek information about Tesla’s sales in the next quarter?
a. What happened? What is happening?
b. Why did it happen? What are the causes of past results?
c. Will it happen in the future? What is the probability something will happen? Can we forecast what
will happen?
d. What should we do, based on what we expect will happen? How do we optimize our performance based
on potential constraints?


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

, 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, counter to
expectations?
a. What happened? What is happening?
b. Why did it happen? What are the causes of past results?
c. Will it happen in the future? What is the probability something will happen? Can we forecast what will
happen?
d. What should we do, based on what we expect will happen? How do we optimize our performance based
on potential constraints?

8. (LO 1.5) Which questions help managers understand how to organize future shipments based on expected
demand?
a. What happened? What is happening?
b. Why did it happen? What are the causes of past results?
c. Will it happen in the future? What is the probability something will happen? Can we forecast what will
happen?
d. What should we do, based on what we expect will happen? How do we optimize our performance
based on potential constraints?

9. (LO 1.5) Which term refers to the combined accuracy, validity, and consistency of data stored and used over
time?
a. Data integrity
b. Data overload
c. Data value
d. Information value

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

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

12. (LO 1.4) Which type of analyst addresses questions regarding tax and auditing?
a. Marketing analyst
b. Operations analyst
c. Financial analyst
d. Accounting analyst

13. (LO 1.5) Suppose a company has timely product reviews that are available when needed, but the reviews are
biased. These product reviews are which type of data?
a. Reliable
b. Relevant
c. Curated
d. Consistent
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