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Solution Manual For Data Analytics for Accounting, 3rd Edition by Vernon Richardson, Ryan Teeter and Katie Terrell

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Solution Manual For Data Analytics for Accounting, 3rd Edition by Vernon Richardson, Ryan Teeter and Katie Terrell. 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 Chapter 10: Project Chapter (Basic) Chapter 11: Project Chapter (Advanced): Analyzing Dillard’s Data to Predict Sales Returns

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SOLUTIONMANUAL b
y




Data Analytics for Accounting, 3rd Edition
by by by by by




by Vernon Richardson,Chapters 1 - 9
by by by by by by




1

,Chapter 1: Data Analytics for Accounting and Identifying the Questions Chapter 2: Mastering the Data
by by by by by by by by by b y by by by by




Chapter 3: Performing the Test Plan and Analyzing the Results Chapter 4: Communicating Results and
by by by by by by by by by b y by by by by




Visualizations
by




Chapter 5: The Modern Accounting Environment Chapter 6: Audit Data
by by by by by b y by by by




Analytics
by




Chapter 7: Managerial Analytics
by by by




Chapter 8: Financial Statement Analytics Chapter 9: Tax Analytics
by by by by b y by by by




2

,Solutions Manual – Chapter 1by by by by




Solutions to Multiple Choice Questions
by by by by




1. (LO 1-1) Big Data is often described by the four Vs, or
by by by by by by by by by by by




a. volume, velocity, veracity, and variability.
by by by by



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



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



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




Answer: b by




2. LO 1-4) Which data approach attempts to assign each unit in a population into a small
by by by by by by by by by by by by by by by



set ofclasses (or groups) where the unit best fits?
by b y by by by by by by by




a. Regression
b. Similarity matching by



c. Co-occurrence grouping by



d. Classification

Answer: d by




3. (LO 1-4) Which data approach attempts to identify similar individuals based on
by by by by by by by by by by by



data knownabout them?
by b y by




a. Classification
b. Regression
c. Similarity matching by



d. Data reduction by




Answer: c by




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




a. Profiling
b. Classification
c. Link predictionby



d. Regression




3

, Answer: c by




5. (LO 1-6) Which of these terms is defined as being a central repository of descriptions for all of
by by by by by by by by by by by by by by by by by



b the data attributes of the dataset?
y by by by by by




a. Big Data
by



b. Data warehouse
by



c. Data dictionary
by



d. Data Analytics
by




Answer: c by




6. (LO 1-5) Which skills were not emphasized that analytic-minded accountants should have?
by by by by by by by by by by by




a. Developed an analytics mindset by by by



b. Data scrubbing and data preparation
by by by by



c. Classification of test approaches by by by



d. Statistical data analysis competency by by by




Answer: c by




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




a. Data qualityby



b. Descriptive data analysis by by



c. Data visualization and data reporting
by by by by



d. Data and systems analysis and design
by by by by by




Answer: d by




8. (LO 1-4) The IMPACT cycle includes all except the following steps:
by by by by by by by by by by




a. perform test plan. by by



b. visualize the data. by by



c. master the data. by by



d. track outcomes.
by




Answer: b by




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




a. data preparation.
by



b. communicate insights. by



c. address and refine results. by by by



d. perform test plan. by by




4

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