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Data Analytics for Accounting, 3rd Edition – Vernon J. Richardson | Complete Solution Manual (Chapters 1–9)

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This document provides the complete solution manual for Data Analytics for Accounting, 3rd Edition by Vernon J. Richardson, Ryan Teeter, and Katie Terrell. Covering Chapters 1–9, it contains step-by-step solutions to all exercises, cases, and applied analytics problems featured in the textbook. The material focuses on key data analytics concepts such as data preparation, modeling, visualization, and interpretation using tools like Excel, Tableau, Power BI, and Python. Perfect for accounting and business analytics students who want practical guidance in applying data analytics to real-world accounting decisions

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Institution
Data Analytics for Accounting, 3rd Edition – Verno
Course
Data Analytics for Accounting, 3rd Edition – Verno

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Uploaded on
October 17, 2025
Number of pages
82
Written in
2025/2026
Type
Exam (elaborations)
Contains
Questions & answers

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SOLUTION MANUAL for Data Analytics for Accounting,
3rd Edition by Vernon Richardson, Chapters 1 - 9




1

,TABLE OF CONTENTS
Chapter 1: Data Analytics for Accounting and Identifying the Questions


Chapter 2: Mastering the Data


Chapter 3: Performing the Test Plan and Analyzing the Results


Chapter 4: Communicating Results and Visualizations


Chapter 5: The Modern Accounting Environment


Chapter 6: Audit Data Analytics


Chapter 7: Managerial Analytics


Chapter 8: Financial Statement Analytics


Chapter 9: Tax Analytics




2

,Solutions Manual – Chapter 1
Solutions to Multiple Choice Questions

1. (LO 1-1) Big Data is often described by the four Vs, or

a. volume, velocity, veracity, and variability.
b. volume, velocity, veracity, and variety.
c. volume, volatility, veracity, and variability.
d. variability, velocity, veracity, and variety.

Answer: b

2. LO 1-4) Which data approach attempts to assign each unit in a population into a small set ofclasses (or
groups) where the unit best fits?

a. Regression
b. Similarity matching
c. Co-occurrence grouping
d. Classification

Answer: d

3. (LO 1-4) Which data approach attempts to identify similar individuals based on data knownabout
them?

a. Classification
b. Regression
c. Similarity matching
d. Data reduction

Answer: c

4. (LO 1-4) Which data approach attempts to predict connections between two data items?

a. Profiling
b. Classification
c. Link prediction
d. Regression




3

, Answer: c


5. (LO 1-6) Which of these terms is defined as being a central repository of descriptions for all ofthe data
attributes of the dataset?

a. Big Data
b. Data warehouse
c. Data dictionary
d. Data Analytics

Answer: c

6. (LO 1-5) Which skills were not emphasized that analytic-minded accountants should have?

a. Developed an analytics mindset
b. Data scrubbing and data preparation
c. Classification of test approaches
d. Statistical data analysis competency

Answer: c

7. (LO 1-5) In which areas were skills not emphasized for analytic-minded accountants?

a. Data quality
b. Descriptive data analysis
c. Data visualization and data reporting
d. Data and systems analysis and design

Answer: d

8. (LO 1-4) The IMPACT cycle includes all except the following steps:

a. perform test plan.
b. visualize the data.
c. master the data.
d. track outcomes.

Answer: b

9. (LO 1-4) The IMPACT cycle specifically includes all except the following steps:

a. data preparation.
b. communicate insights.
c. address and refine results.
d. perform test plan.


4
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