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Examen

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

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Publié le
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Écrit en
2024/2025

Discover the ultimate study companion with our meticulously designed test bank for "Data Analytics for Accounting, 3rd Edition" by Vernon Richardson, Katie L. Terrell, and Ryan A. Teeter. This comprehensive resource spans the first nine chapters of the textbook, offering a wide range of carefully crafted questions that prepare you for exams and practical applications in data analytics and accounting. Our test bank includes multiple-choice questions, true/false statements, short-answer questions, and essay questions, all rooted in real-world scenarios to help you apply theoretical knowledge effectively. Each question is designed to cover key topics such as data analysis tools, data visualization, predictive analytics, and data-driven decision making, ensuring you meet industry standards. Detailed rationales and step-by-step solutions accompany each question, enhancing your comprehension and problem-solving skills. Created by field experts, this test bank guarantees high-quality, accurate content presented in a user-friendly format. Ideal for certification exam preparation, it provides valuable insights and practical knowledge, making it the perfect companion for your studies in data analytics and accounting. Equip yourself with this essential tool and excel in your academic and professional journey. Happy studying!

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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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Accounting.

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Publié le
8 décembre 2024
Nombre de pages
85
Écrit en
2024/2025
Type
Examen
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