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SOLUTION MANUAL Data Analytics for Accounting, 3rd Edition by Vernon Richardson, Chapters 1 - 3 $12.99   Add to cart

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SOLUTION MANUAL Data Analytics for Accounting, 3rd Edition by Vernon Richardson, Chapters 1 - 3

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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 Ch...

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  • November 21, 2024
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  • mastering the data
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SOLUTION MANUAL
Data Analytics for Accounting, 3rd Edition
by Vernon Richardson, Chapters 1 - 3




1

,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




2

,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
ofclasses (or groups) where the unit best fits?

a. Regression
b. Similarity matching
c. Co-occurrence grouping
d. Classification

Answer: d

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

a. Classification
b. Regression
c. Similarity matching
d. Data reduction

Answer: c

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

a. Profiling
b. Classification
c. Link prediction
d. Regression




3

, Answer: c


5. (LO q1-6) qWhich qof qthese qterms qis qdefined qas qbeing qa qcentral qrepository qof qdescriptions
qfor qall qof q the qdata qattributes qof qthe qdataset?


a. Big qData
b. Data qwarehouse
c. Data qdictionary
d. Data qAnalytics

Answer: qc

6. (LO q1-5) qWhich qskills qwere qnot qemphasized qthat qanalytic-minded qaccountants qshould qhave?

a. Developed qan qanalytics qmindset
b. Data qscrubbing qand qdata qpreparation
c. Classification qof qtest qapproaches
d. Statistical qdata qanalysis qcompetency

Answer: qc

7. (LO q1-5) qIn qwhich qareas qwere qskills qnot qemphasized qfor qanalytic-minded qaccountants?

a. Data qquality
b. Descriptive qdata qanalysis
c. Data qvisualization qand qdata qreporting
d. Data qand qsystems qanalysis qand qdesign

Answer: qd

8. (LO q1-4) qThe qIMPACT qcycle qincludes qall qexcept qthe qfollowing qsteps:

a. perform qtest qplan.
b. visualize qthe qdata.
c. master qthe qdata.
d. track qoutcomes.

Answer: qb

9. (LO q1-4) qThe qIMPACT qcycle qspecifically qincludes qall qexcept qthe qfollowing qsteps:

a. data qpreparation.
b. communicate qinsights.
c. address qand qrefine qresults.
d. perform qtest qplan.



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