SOLUTIONMANUAL e
Data Analytics for Accounting, 3rd Edition
e e e e e
by Vernon Richardson, Chapters 1 - 9
e e e e e e
1
,Chapter e1: eData eAnalytics efor eAccounting eand eIdentifying ethe eQuestions e Chapter e2: eMastering ethe eData
Chapter e3: ePerforming ethe eTest ePlan eand eAnalyzing ethe eResults e Chapter e4: eCommunicating eResults eand
Visualizations
e
Chapter e5: eThe eModern eAccounting eEnvironment e Chapter e6: eAudit eData
Analytics
e
Chapter e7: eManagerial eAnalytics
Chapter e8: eFinancial eStatement eAnalytics e Chapter e9: eTax eAnalytics
2
,Solutions eManual e– eChapter e1
Solutions eto eMultiple eChoice eQuestions
1. (LO e1-1) eBig eData eis eoften edescribed eby ethe efour eVs, eor
a. volume, evelocity, everacity, eand evariability.
b. volume, evelocity, everacity, eand evariety.
c. volume, evolatility, everacity, eand evariability.
d. variability, evelocity, everacity, eand evariety.
Answer: eb
2. LO e1-4) eWhich edata eapproach eattempts eto eassign eeach eunit ein ea epopulation einto ea esmall
eset e ofclasses e(or egroups) ewhere ethe eunit ebest efits?
a. Regression
b. Similarityematching
c. Co-occurrence egrouping
d. Classification
Answer: ed
3. (LO e1-4) eWhich edata eapproach eattempts eto eidentify esimilar eindividuals ebased eon
edata e knownabout ethem?
a. Classification
b. Regression
c. Similarityematching
d. Data ereduction
Answer: ec
4. (LO e1-4) eWhich edata eapproach eattempts eto epredict econnections ebetween etwo edata eitems?
a. Profiling
b. Classification
c. Link eprediction
d. Regression
3
, Answer: ec
5. (LO e1-6) eWhich eof ethese eterms eis edefined eas ebeing ea ecentral erepository eof edescriptions efor eall
eof e the edata eattributes eof ethe edataset?
a. Big eData
b. Data ewarehouse
c. Data edictionary
d. Data eAnalytics
Answer: ec
6. (LO e1-5) eWhich eskills ewere enot eemphasized ethat eanalytic-minded eaccountants eshould ehave?
a. Developed ean eanalytics emindset
b. Data escrubbing eand edata epreparation
c. Classification eof etest eapproaches
d. Statistical edata eanalysis ecompetency
Answer: ec
7. (LO e1-5) eIn ewhich eareas ewere eskills enot eemphasized efor eanalytic-minded eaccountants?
a. Data equality
b. Descriptive edata eanalysis
c. Data evisualization eand edata ereporting
d. Data eand esystems eanalysis eand edesign
Answer: ed
8. (LO e1-4) eThe eIMPACT ecycle eincludes eall eexcept ethe efollowing esteps:
a. perform etest eplan.
b. visualize ethe edata.
c. master ethe edata.
d. track eoutcomes.
Answer: eb
9. (LO e1-4) eThe eIMPACT ecycle especifically eincludes eall eexcept ethe efollowing esteps:
a. data epreparation.
b. communicate einsights.
c. address eand erefine eresults.
d. perform etest eplan.
4
Data Analytics for Accounting, 3rd Edition
e e e e e
by Vernon Richardson, Chapters 1 - 9
e e e e e e
1
,Chapter e1: eData eAnalytics efor eAccounting eand eIdentifying ethe eQuestions e Chapter e2: eMastering ethe eData
Chapter e3: ePerforming ethe eTest ePlan eand eAnalyzing ethe eResults e Chapter e4: eCommunicating eResults eand
Visualizations
e
Chapter e5: eThe eModern eAccounting eEnvironment e Chapter e6: eAudit eData
Analytics
e
Chapter e7: eManagerial eAnalytics
Chapter e8: eFinancial eStatement eAnalytics e Chapter e9: eTax eAnalytics
2
,Solutions eManual e– eChapter e1
Solutions eto eMultiple eChoice eQuestions
1. (LO e1-1) eBig eData eis eoften edescribed eby ethe efour eVs, eor
a. volume, evelocity, everacity, eand evariability.
b. volume, evelocity, everacity, eand evariety.
c. volume, evolatility, everacity, eand evariability.
d. variability, evelocity, everacity, eand evariety.
Answer: eb
2. LO e1-4) eWhich edata eapproach eattempts eto eassign eeach eunit ein ea epopulation einto ea esmall
eset e ofclasses e(or egroups) ewhere ethe eunit ebest efits?
a. Regression
b. Similarityematching
c. Co-occurrence egrouping
d. Classification
Answer: ed
3. (LO e1-4) eWhich edata eapproach eattempts eto eidentify esimilar eindividuals ebased eon
edata e knownabout ethem?
a. Classification
b. Regression
c. Similarityematching
d. Data ereduction
Answer: ec
4. (LO e1-4) eWhich edata eapproach eattempts eto epredict econnections ebetween etwo edata eitems?
a. Profiling
b. Classification
c. Link eprediction
d. Regression
3
, Answer: ec
5. (LO e1-6) eWhich eof ethese eterms eis edefined eas ebeing ea ecentral erepository eof edescriptions efor eall
eof e the edata eattributes eof ethe edataset?
a. Big eData
b. Data ewarehouse
c. Data edictionary
d. Data eAnalytics
Answer: ec
6. (LO e1-5) eWhich eskills ewere enot eemphasized ethat eanalytic-minded eaccountants eshould ehave?
a. Developed ean eanalytics emindset
b. Data escrubbing eand edata epreparation
c. Classification eof etest eapproaches
d. Statistical edata eanalysis ecompetency
Answer: ec
7. (LO e1-5) eIn ewhich eareas ewere eskills enot eemphasized efor eanalytic-minded eaccountants?
a. Data equality
b. Descriptive edata eanalysis
c. Data evisualization eand edata ereporting
d. Data eand esystems eanalysis eand edesign
Answer: ed
8. (LO e1-4) eThe eIMPACT ecycle eincludes eall eexcept ethe efollowing esteps:
a. perform etest eplan.
b. visualize ethe edata.
c. master ethe edata.
d. track eoutcomes.
Answer: eb
9. (LO e1-4) eThe eIMPACT ecycle especifically eincludes eall eexcept ethe efollowing esteps:
a. data epreparation.
b. communicate einsights.
c. address eand erefine eresults.
d. perform etest eplan.
4
