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TESTBANK FOR Data Analytics for Accounting 1st Edition by Vernon J. Richardson

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This document contains a comprehensive test bank for the 1st Edition of Data Analytics for Accounting by Vernon J. Richardson. It includes a wide range of exam-style questions designed to evaluate understanding of data analytics concepts and their application in accounting and financial decision-making. The material covers topics such as data preparation, spreadsheet analytics, data visualization, database concepts, audit analytics, and the use of analytical tools to interpret financial data. Organized according to textbook chapters, this resource helps accounting students strengthen analytical skills and prepare for quizzes, assignments, and course examinations.

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Institution
Data Analytics For Accounting
Course
Data Analytics for Accounting

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,Data Analytics for Accounting, 1e (Richardson)
Chapter 1 Data Analytics in Accounting and Business

1) Data analytics is the process of evaluating data with the purpose of drawing conclusions to
address business questions.

Answer: TRUE
Difficulty: 1 Easy
Topic: Define Data Analytics
Learning Objective: 01-01 Define Data Analytics.
Bloom's: Remember
AACSB: Reflective Thinking
AICPA: BB Industry; FN Decision Making

2) The process of data analytics aims to transform raw information into data to create value.

Answer: FALSE
Difficulty: 1 Easy
Topic: Define Data Analytics
Learning Objective: 01-01 Define Data Analytics.
Bloom's: Remember
AACSB: Reflective Thinking
AICPA: BB Industry; FN Decision Making

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.

Answer: FALSE
Difficulty: 1 Easy
Topic: How Data Analytics Affects Business
Learning Objective: 01-02 Understand why Data Analytics matters to business.
Bloom's: Remember
AACSB: Reflective Thinking
AICPA: BB Industry; FN Decision Making

4) Auditors can use social media to hear what customers are saying about a company and
compare this to inventory obsolescence and other estimates.

Answer: TRUE
Difficulty: 2 Medium
Topic: Financial Reporting
Learning Objective: 01-03 Explain why Data Analytics matters to accountants.
Bloom's: Understand
AACSB: Reflective Thinking
AICPA: BB Industry; FN Decision Making


1
Copyright 2019 © McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior
written consent of McGraw-Hill Education.

,5) Data analytics allows auditors to glean insights that are beneficial to the client, without
breaching independence.

Answer: TRUE
Difficulty: 2 Medium
Topic: Auditing
Learning Objective: 01-03 Explain why Data Analytics matters to accountants.
Bloom's: Remember
AACSB: Reflective Thinking
AICPA: BB Industry; FN Decision Making

6) The predictive analytics is an important aspect of data analytics for auditors, but is not
applicable for tax accountants.

Answer: FALSE
Difficulty: 1 Easy
Topic: Tax
Learning Objective: 01-03 Explain why Data Analytics matters to accountants.
Bloom's: Understand
AACSB: Reflective Thinking
AICPA: BB Industry; FN Decision Making

7) The I in IMPACT Cycle represents Identify the Question.

Answer: TRUE
Difficulty: 2 Medium
Topic: The Data Analytics Process Using the Impact Cycle
Learning Objective: 01-04 Describe the Data Analytics Process Using the IMPACT Cycle.
Bloom's: Remember
AACSB: Reflective Thinking
AICPA: BB Industry; FN Decision Making

8) The M in IMPACT Cycle represents Master the Data.

Answer: TRUE
Difficulty: 2 Medium
Topic: The Data Analytics Process Using the Impact Cycle
Learning Objective: 01-04 Describe the Data Analytics Process Using the IMPACT Cycle.
Bloom's: Remember
AACSB: Reflective Thinking
AICPA: BB Industry; FN Decision Making




2
Copyright 2019 © McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior
written consent of McGraw-Hill Education.

, 9) The P in IMPACT Cycle represents Predict the Results.

Answer: FALSE
Difficulty: 2 Medium
Topic: The Data Analytics Process Using the Impact Cycle
Learning Objective: 01-04 Describe the Data Analytics Process Using the IMPACT Cycle.
Bloom's: Remember
AACSB: Reflective Thinking
AICPA: BB Industry; FN Decision Making

10) The A in IMPACT Cycle represents Analyze the Data.

Answer: FALSE
Difficulty: 2 Medium
Topic: The Data Analytics Process Using the Impact Cycle
Learning Objective: 01-04 Describe the Data Analytics Process Using the IMPACT Cycle.
Bloom's: Remember
AACSB: Reflective Thinking
AICPA: BB Industry; FN Decision Making

11) The C in IMPACT Cycle represents Continuously Track.

Answer: FALSE
Difficulty: 2 Medium
Topic: The Data Analytics Process Using the Impact Cycle
Learning Objective: 01-04 Describe the Data Analytics Process Using the IMPACT Cycle.
Bloom's: Remember
AACSB: Reflective Thinking
AICPA: BB Industry; FN Decision Making

12) The T in IMPACT Cycle represents Track Outcomes.

Answer: TRUE
Difficulty: 2 Medium
Topic: The Data Analytics Process Using the Impact Cycle
Learning Objective: 01-04 Describe the Data Analytics Process Using the IMPACT Cycle.
Bloom's: Remember
AACSB: Reflective Thinking
AICPA: BB Industry; FN Decision Making




3
Copyright 2019 © McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior
written consent of McGraw-Hill Education.

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Institution
Data Analytics for Accounting
Course
Data Analytics for Accounting

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