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Solution Manual for Data Analytics for Accounting 3rd Edition by Vernon Richardson

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Explore study resources for Data Analytics for Accounting, 3rd Edition, by Vernon Richardson. This guide covers essential accounting analytics concepts, including data preparation, statistical analysis, data visualization, predictive analytics, auditing analytics, and data-driven financial decision-making. Ideal for accounting and business students seeking additional academic support, reviewing analytical techniques, practicing data interpretation, and developing a stronger understanding of how data analytics is applied to accounting, auditing, and financial reporting for coursework and exam preparation.

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Solution manual for data analytics for accounting 1
3rd
of edition
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Franklyn A Plus Pass



SOLUTION MANUAL for Data Analytics for
Accounting, 3rd Edition by Vernon Richardson
All Chapters Included 1-9| Verified Solutions for Exam
Preparations| A+ GRADED
Fr
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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 of classes (or
groups) where the unit best fits?

a. Regression

b. Similarity matching

c. Co-occurrence grouping

d. Classification

Answer: d
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3. (LO 1-4) Which data approach attempts to identify similar individuals based on data known about
them?
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a. Classification
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b. Regression
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c. Similarity matching
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d. Data reduction
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Answer: c
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4. (LO 1-4) Which data approach attempts to predict connections between two data items?
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a. Profiling
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b. Classification

c. Link prediction

d. Regression

Answer: c



5. (LO 1-6) Which of these terms is defined as being a central repository of descriptions for all of the 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
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d. Statistical data analysis competency
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Answer: c
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7. (LO 1-5) In which areas were skills not emphasized for analytic-minded accountants?
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a. Data quality

b. Descriptive data analysis
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c. Data visualization and data reporting
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d. Data and systems analysis and design
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Answer: d
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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.

Answer: a



10. LO 1-1) By the year 2024, the volume of data created, captured, copied, and consumed worldwide
will be 149 .

a. zettabytes
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b. petabytes
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c. exabytes

d. yottabytes
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Answer: a
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Solutions to Discussion and Analysis Questions
A




1. The accounting function is one of being an information provider. To the extent that data is available to
address accounting questions, be they tax, managerial, audit or financial questions. With such rich
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available data, and software tools to prepare and analyze the data, data analytics will continue to be an
important tool for accountants to use.
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Subido en
10 de octubre de 2026
Número de páginas
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