Data Analytics for
Accounting, 3rd
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Edition
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TEST BANK
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Vernon J. Richardson, Ryan A. Teeter, Katie L.
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Terrell
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Comprehensive Test Bank for Instructors and
Students
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9781264444908
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© Vernon J. Richardson, Ryan A. Teeter & Katie L. Terrell.
All rights reserved. Reproduction or distribution without
permission is prohibited.
© MEDCONNOISSEUR
, TABLE OF CONTENTS
Test Bank – Data Analytics for Accounting (3rd Ed.)
Authors: Vernon J. Richardson, Ryan A. Teeter, and Katie L. Terrell
ISBN: 9781264444908
ST
PART I: THE DATA ANALYTICS FRAMEWORK
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 Visualizations
PART II: APPLICATIONS OF DATA ANALYTICS IN ACCOUNTING
Chapter 5: The Modern Accounting Environment
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Chapter 6: Audit Data Analytics
Chapter 7: Managerial Analytics
Chapter 8: Financial Statement Analytics
Chapter 9: Tax Analytics
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PART III: CAPSTONE PROJECTS
Chapter 10: Project Chapter (Basic)
Chapter 11: Project Chapter (Advanced): Analyzing Dillard’s Data to Predict Sales Returns
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,Test Bank Data Analytics for Accounting, 3rd Edition by Vernon Richardson, Teeter
Chapter 01 3e Answers Included ✅
TRUE/FALSE - Write 'T' if the statement is true and 'F' if the statement is false.
1) Data analytics is the process of evaluating data with the purpose of drawing conclusions
to address business questions.
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⊚ true
⊚ false
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2) The process of data analytics aims to transform raw information into data to create value.
⊚ true
⊚ false
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3) Data analytics has the potential to transform the manner in which companies run their
businesses, however it is not practical in the near future.
⊚ true
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⊚ false
4) Auditors can use social media to hear what customers are saying about a company and
compare this to inventory obsolescence and other estimates.
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⊚ true
⊚ false
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5) Data analytics allows auditors to glean insights that are beneficial to the client, without
breeching independence.
⊚ true
⊚ false
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6) The predictive analytics is an important aspect of data analytics for auditors, but is not
applicable for tax accountants.
⊚ true
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⊚ false
7) The I in IMPACT Cycle represents Identify the Question.
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, ⊚ true
⊚ false
8) The M in IMPACT Cycle represents Master the Data.
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⊚ true
⊚ false
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9) The P in IMPACT Cycle represents Predict the Results.
⊚ true
⊚ false
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10) The A in IMPACT Cycle represents Analyze the Data.
⊚ true
⊚ false
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11) The C in IMPACT Cycle represents Continuously Track.
⊚ true
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⊚ false
12) The T in IMPACT Cycle represents Track Outcomes.
⊚ true
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⊚ false
13) The IMPACT cycle is iterative, as insights are gained, outcomes are tracked, and new
questions are identified.
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⊚ true
⊚ false
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14) Data analysis through data manipulation is performing basic analysis to understand the
quality of the underlying data and its ability to address the business question.
⊚ true
⊚ false
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