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Solution Manual For Data Analytics for Accounting, 3rd Edition Richardson

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Solution Manual For Data Analytics for Accounting, 3rd Edition Richardson Chapter 1-9 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 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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Uploaded on
November 1, 2025
Number of pages
31
Written in
2025/2026
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SOLUTIONMANUAL h




DataAnalyticsforAccounting,3rdEdition
h h h h h




byVernon Richardson,Chapters1 -9
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1

,Chapter 1: Data Analyticsfor Accounting andIdentifying theQuestions Chapter 2: Mastering the Data
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Chapter 3: Performing the Test Plan and Analyzing the Results Chapter4:CommunicatingResultsandVisualizations
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Chapter 5: The Modern AccountingEnvironment Chapter 6: Audit DataAnalytics
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Chapter7: ManagerialAnalytics
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Chapter 8: FinancialStatementAnalytics Chapter 9: Tax Analytics
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2

,Solutions Manual – Chapter 1
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Solutions to Multiple Choice Questions
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1. (LO 1-1) Big Data is often described by the four Vs, or
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a. volume, velocity,veracity, and variability.
h h h h




b. volume, velocity, veracity, and variety.
h h h h




c. volume, volatility, veracity, and variability.
h h h h




d. variability, velocity, veracity, and variety. h h h h




Answer: b h




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




a. Regression
b. Similaritymatching h




c. Co-occurrencegrouping h




d. Classification

Answer: d h




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




a. Classification
b. Regression
c. Similaritymatching h




d. Datareduction h




Answer: c h




4. (LO 1-4) Which data approach attempts to predict connections between two data items?
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a. Profiling
b. Classification
c. Link prediction h




d. Regression




3

, Answer: c h




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




b. Datawarehouse
h




c. Data dictionary
h




d. DataAnalytics
h




Answer: c h




6. (LO 1-5) Which skills were not emphasized that analytic-minded accountants should have?
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a. Developed an analytics mindset h h h




b. Data scrubbing and data preparation
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c. Classification of test approaches h h h




d. Statistical data analysis competency h h h




Answer: c h




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




b. Descriptivedata analysis h h




c. Data visualization and data reporting
h h h h




d. Data and systems analysis anddesign
h h h h h




Answer: d h




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




b. visualize the data. h h




c. master the data.h h




d. trackoutcomes.
h




Answer: b h




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




b. communicateinsights. h




c. address and refine results.
h h h




d. perform test plan. h h




4
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