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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 RichardsonSolution 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: dSolution 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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SOLUTIONMANUAL m




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




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




1

,Chapter 1: Data Analytics for Accounting and Identifying the Questions Chapter 2: Mastering the Data
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Chapter 3: Performing the Test Plan and Analyzing the Results Chapter 4: Communicating Results and
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Visualizations
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Chapter 5: The Modern Accounting Environment Chapter 6: Audit Data
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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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2

,Solutions Manual – Chapter 1
mm mm mm mm




Solutions to Multiple Choice Questions
mm mm mm mm




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




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




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




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




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




Answer: b mm




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




m ofclasses (or groups) where the unit best fits?
m mm mm mm mm mm mm mm




a. Regression
b. Similarity matching mm




c. Co-occurrence grouping mm




d. Classification

Answer: d mm




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




mknownabout them?
m mm




a. Classification
b. Regression
c. Similarity matching mm




d. Data reduction mm




Answer: c mm




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




a. Profiling
b. Classification
c. Link prediction mm




d. Regression




3

, Answer: c mm




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




m the data attributes of the dataset?
m mm mm mm mm mm




a. Big Data
mm




b. Data warehouse mm




c. Data dictionarymm




d. Data Analytics mm




Answer: c mm




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




a. Developed an analytics mindset mm mm mm




b. Data scrubbing and data preparation
mm mm mm mm




c. Classification of test approaches mm mm mm




d. Statistical data analysis competency mm mm mm




Answer: c mm




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




a. Data quality mm




b. Descriptive data analysis mm mm




c. Data visualization and data reporting
mm mm mm mm




d. Data and systems analysis and design
mm mm mm mm mm




Answer: d mm




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




a. perform test plan. mm mm




b. visualize the data. mm mm




c. master the data. mm mm




d. track outcomes.mm




Answer: b mm




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




a. data preparation.
mm




b. communicate insights. mm




c. address and refine results. mm mm mm




d. perform test plan. mm mm




4
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