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Solutions Manual – Introduction to Data Analytics for Accounting, 2026 Release by Vernon Richardson

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Develop a deeper understanding of data analytics for accounting with this Solutions Manual for Introduction to Data Analytics for Accounting, 2026 Release by Vernon Richardson, Katie Terrell, and Ryan Teeter. ISBN13: 9781264474035. Please note that Solutions Manual Labs for Chapter 11 are not included. This resource includes Discussion Questions/MCQs, Exercises & Problems, and Data Files for Excel, providing practical support for applying data analytics concepts and developing accounting analysis skills. The complete table of contents is provided below for easy reference. Ideal for assignments, exam preparation, self-study, and instructor support. 1. Ask the Question: Using Data Analytics to Address Accounting Questions 2. Master the Data: An Introduction to Accounting Data 3. Master the Data: Data Types Used in Accounting 4. Master the Data: Preparing Data for Analysis 5. Perform the Analysis: Types of Data Analytics 6. Perform the Analysis: Descriptive Analytics 7. Perform the Analysis: Diagnostic Analytics 8. Perform the Analysis: Predictive Analytics 9. Perform the Analysis: Prescriptive Analytics 10. Share the Story 11. Capstone Projects Using the AMPS Model 12. Financial Statement Analysis 13. Managerial Accounting Analytics

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SOLUTIONS MANUAL




** All Chapters included
** Discussion Questions / MCQs
** Exercises & Problems
** Data Files Excel

,Table of Contents are given below



1. Ask the Question: Using Data Analytics to Address Accounting Questions

2. Master the Data: An Introduction to Accounting Data

3. Master the Data: Data Types Used in Accounting

4. Master the Data: Preparing Data for Analysis

5. Perform the Analysis: Types of Data Analytics

6. Perform the Analysis: Descriptive Analytics

7. Perform the Analysis: Diagnostic Analytics

8. Perform the Analysis: Predictive Analytics

9. Perform the Analysis: Prescriptive Analytics

10. Share the Story

11. Capstone Projects Using the AMPS Model

12. Financial Statement Analysis

13. Managerial Accounting Analytics

, Richardson, Terrell, Teeter – Introduction to Data Analytics for Accounting, 2026 Release – Chapter 1


Chapter 1 End-of-Chapter Assignment Solutions
Multiple Choice Questions
1. (LO 1-2) Which is the lowest level of critical thinking skills in Bloom’s Taxonomy?

a. Create

b. Remember

c. Apply

d. Analyze
2. (LO 1-2) Which is the highest level of critical thinking skills in Bloom’s Taxonomy?

a. Create

b. Apply

c. Analyze

d. Understand
3. (LO 1-2) Which is the appropriate ordering of critical thinking skills in Bloom’s Taxonomy, where the “>”
symbol means higher order skills?

a. Remember > Apply

b. Apply > Analyze

c. Analyze > Evaluate

d. Create > Analyze
4. (LO 1-3) Which step of the AMPS model most appropriately addresses the axiom, “Your data won’t speak
unless you ask it the right data analytics questions”?

a. Ask the Question

b. Master the Data

c. Perform the Analysis

d. Share the Story
5. (LO 1-3) Which step of the AMPS model most appropriately addresses the question of the best way to
communicate data analytics findings with a decision maker?

a. Ask the Question

b. Master the Data


1
1-1

, Richardson, Terrell, Teeter – Introduction to Data Analytics for Accounting, 2026 Release – Chapter 1

c. Perform the Analysis

d. Share the Story
6. (LO 1-3) What type of question is predicting whether a company will go bankrupt in the coming two years?

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?”
7. (LO 1-3) What type of question is choosing to take certain tax deductions based on the way managers
believe tax legislation will change in the near future?

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?”
8. (LO 1-3) What type of question is finding the detail to more clearly understand why net income is
decreasing when revenues are increasing?

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?”
9. (LO 1-4) What visualization type is most appropriate for evaluating the relationships between values?

a. Bar chart

b. Pie chart

c. Histogram

d. Scatterplot
10. (LO 1-5) Which of the following software tools specialize in data visualizations?

a. SPSS and Power Query

b. Alteryx and Tableau Prep

2
1-2

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