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Data Analytics for Accounting (3rd Edition) – Vernon J. Richardson, Ryan Teeter & Katie L. Terrell | Complete Test Bank with Answers

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This complete test bank for Data Analytics for Accounting (3rd Edition) by Vernon J. Richardson provides a full set of chapter-by-chapter exam questions with verified answers. It covers essential topics such as data preparation, analysis, visualization, audit analytics, fraud detection, and the use of tools like Excel, Tableau, and IDEA in accounting contexts. Perfect for accounting and business analytics students, this resource helps strengthen analytical thinking and practical data interpretation skills aligned with current industry and academic standards.

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,ACCESS Test Bank for Data Analytics for Accounting 3rd Edition
Richardson
Data Analytics for Accounting Edition 3 by Richardson
CORRECT ANSWERS ARE LOCATED IN THE 2ND HALF OF THIS DOC.
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.
⊚ true
⊚ false

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

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
⊚ 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.
⊚ true
⊚ false

5) Data analytics allows auditors to glean insights that are beneficial to the client, without
breeching independence.
⊚ true
⊚ false

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

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

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




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,ACCESS Test Bank for Data Analytics for Accounting 3rd Edition
Richardson
Data Analytics for Accounting Edition 3 by Richardson
9) The P in IMPACT Cycle represents Predict the Results.
⊚ true
⊚ false

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

11) The C in IMPACT Cycle represents Continuously Track.
⊚ true
⊚ false

12) The T in IMPACT Cycle represents Track Outcomes.
⊚ true
⊚ false

13) The IMPACT cycle is iterative, as insights are gained, outcomes are tracked, and new
questions are identified.
⊚ true
⊚ false

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

15) To be proficient in data analysis, accountants need to become data scientists.
⊚ true
⊚ false

16) By developing an analytics mindset, accountants will be able to recognize when and how
data analytics can address business questions.
⊚ true
⊚ false

17) While it is important for accountants to clearly articulate the business problem, drawing
appropriate conclusions, based on the data, should be left to statisticians.
⊚ true
⊚ false




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, ACCESS Test Bank for Data Analytics for Accounting 3rd Edition
Richardson
Data Analytics for Accounting Edition 3 by Richardson
18) Analytic-minded accountants should report results of analysis in an accessible way to each
varied decision maker and their specific needs.
⊚ true
⊚ false

MULTIPLE CHOICE - Choose the one alternative that best completes the statement or
answers the question.
19) With a goal to give organizations the information they need to make sound and timely
business decisions, data analytics often involves all of the following except:
A) technologies.
B) statistics.
C) strategies.
D) databases.

20) Patterns discovered from __________ enable businesses to identify opportunities and risks
and better plan for __________.
A) past archives; the future
B) current data; the future
C) current data; today
D) past archives; today

21) Which of the following best describes the goal of descriptive data analysis:
A) recognize what is meant by data quality, be it completeness, reliability or validity
B) perform basic analysis to understand the quality of the underlying data and its ability
to address the business question
C) demonstrate ability to sort, rearrange, merge, and reconfigure data in a manner that
allows enhanced analysis
D) comprehend the process needed to clean and prepare the data before analysis

22) Which of the following Microsoft software tool specializes in data joining?
A) Excel
B) Power Query
C) Power BI
D) Power Automate

23) Which of the following Microsoft software tools specializes in creating dashboards?
A) Excel
B) Power Query
C) Power BI
D) Power Automate



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