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Exam (elaborations)

Data Analytics for Accounting 3rd Edition by Vernon Richardson A+

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This original study resource complements Data Analytics for Accounting, 3rd Edition by Vernon Richardson. Designed for accounting and finance students, it provides chapter-by-chapter summaries, key term flashcards, and original practice problems covering financial data analytics, auditing techniques, business intelligence, data visualization, statistical modeling, and decision-making in accounting. Each section reinforces critical thinking, application of analytics tools, and interpretation of financial data. Perfect for exam preparation, coursework review, and professional reference, this A+ resource helps students master data analytics in accounting

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Data Analytics For Accounting
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Institution
Data Analytics for Accounting
Course
Data Analytics for Accounting

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Uploaded on
November 15, 2025
Number of pages
36
Written in
2025/2026
Type
Exam (elaborations)
Contains
Questions & answers

Subjects

  • analytics for auditors a

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




1

,2

,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




3

, 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 lmatching
c. Co-occurrence lgrouping
d. Classification

Answer: ld

3. (LO l1-4) lWhich ldata lapproach lattempts lto lidentify lsimilar lindividuals lbased lon
ldata l knownabout lthem?


a. Classification
b. Regression
c. Similarity lmatching
d. Data lreduction

Answer: lc

4. (LO l1-4) lWhich ldata lapproach lattempts lto lpredict lconnections lbetween ltwo ldata litems?

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




4

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