SOLUTIONS MANUAL for Data Analytics for Accounting, 3rd Edition by Vernon Richardson, Ryan Teeter

SOLUTION MANUAL DataAnalyticsfor V V V




Accounting, 3rd Edition byVernon
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Richardson, Chapters 1 - 9
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SOLUTIONMANUAL V




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



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Chapter 1: Data Analytics for Accounting and Identifying the Questions
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V Chapter 3: Performing the Test Plan and Analyzing the Results Chapter 4: Communicating Results and
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V Visualizations
Chapter 5: The Modern Accounting Environment Chapter 6: Audit Data Analytics
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Chapter 7: Managerial Analytics
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Chapter 8: Financial Statement Analytics Chapter 9: Tax Analytics
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Solutions Manual – Chapter 1 Solutions V V V V V




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




Answer: b V




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




a. Regression
b. Similarity matching V




c. Co-occurrence grouping V




d. Classification

Answer: d V




3. (LO 1-4) Which data approach attempts to identify similar individuals based ondata
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knownaboutthem?
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a. Classification
b. Regression
c. Similarity matching V




d. Datareduction V




Answer: c V




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




a. Profiling
b. Classification
c. Link prediction V




d. Regression




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