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Test Bank for Introduction to Data Analytics for Accounting, 2nd Edition Vernon Richardson and Terrell Chapters 1-13

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Test Bank for Introduction to Data Analytics for Accounting, 2nd Edition Vernon Richardson and Terrell Chapters 1-13

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1

,Test Bank Introduction to Data Analytics for Accounting, 2nd Edition Richardson
p p p p p p p p p p




Chap 01 2e
p p


1) "Create" pis pthe phighest pskill pin pBloom's pTaxonomy.
⊚ p true
⊚ p false



2) "Understand" pis pthe plowest pskill pin pBloom's
Taxonomy.
p


⊚ p true
⊚ p false



3) "Remember" pis pa phigher pskill pthan p"Understand" pin pBloom's pTaxonomy.
⊚ p true
⊚ p false



4) "Ask pthe pRight pQuestion" pis pone pof pthe pdesired pskills pfor paccounting pprofessionals,
consistent pwith pEY's p"The pAnalytics pMindset".
p


⊚ p true
⊚ p false



5) "Communicate presults pwith pmanagement" pis pone pof pthe pdesired pskills pfor
accounting pprofessionals, pconsistent pwith pEY's p"The pAnalytics pMindset".
p


⊚ p true
⊚ p false



6) "Extract, pTransform pand pLoad pRelevant pData" pis pone pof pthe pdesired pskills pfor
accounting pprofessionals, pconsistent pwith pEY's p"The pAnalytics pMindset".
p


⊚ p true
⊚ p false




2

,7) Of pthe poptions plisted pbelow, pwhich pis pthe plowest plevel pof pthinking pskills pin
Bloom's pTaxonomy?
p


A) Create
B) Understand
C) Apply
D) Analyze



8) Of pthe poptions plisted pbelow, pwhich pis pthe phighest plevel pof pthinking pskills pin
Bloom's pTaxonomy?
p


A) Evaluate
B) Apply
C) Analyze
D) Understand



9) Which pis pthe pappropriate pordering pof pthinking pskills pin pBloom's pTaxonomy, pwhere pthe
">" psymbol pmeans phigher porder pskills?
p


A) Evaluate p> pApply
B) Remember p> pUnderstand
C) Apply p> pAnalyze
D) Analyze p> pEvaluate



10) Which pcomponent pof pthe pAMPS pmodel pwould pusually pinvolve pcreating pa ppivottable?
A) Ask pthe pQuestion
B) Master pthe pData
C) Perform pthe pAnalysis
D) Share pthe pStory



11) Which pcomponent pof pthe pAMPS pmodel pmost pappropriately paddresses pthe pskill pmentioned
pby pEY's panalytics pmindset pof p"extract, ptransform pand pload prelevant pdata"?
A) Ask pthe pQuestion
B) Master pthe pData
C) Perform pthe pAnalysis
D) Share pthe pStory




3

, 12) Use pof pa pdashboard pto ptrack prelevant poutcomes pwould pbe pconsistent pwith pwhich pcomponent
of pthe pAMPS pmodel?
p


A) Ask pthe pQuestion
B) Master pthe pData
C) Perform pthe pAnalysis
D) Share pthe pStory



13) A pvisualization pmay pbe pused pto phelp pwith pwhich pcomponent pof pthe pAMPS pmodel?
A) Ask pthe pQuestion
B) Master pthe pData
C) Perform pthe pAnalysis
D) Share pthe pStory



14) Benford's plaw pmight pbe pused pas ppart pof pwhich pcomponent pof pthe pAMPS pmodel?
A) Ask pthe pQuestion
B) Master pthe pData
C) Perform pthe pAnalysis
D) Share pthe pStory



15) What ptype pof pquestion(s) pworks pto pexplain p"Why pdid poverall ptax pincrease peven pthough
net pincome pdid pnot?"
p


A) What phappened? pWhat pis phappening?
B) Why pdid pit phappen? pWhat pare pthe proot pcauses pof ppast presults?
C) Will pit phappen pin pthe pfuture? pWhat pis pthe pprobability psomething pwill phappen? pIs
pit pforecastable?


D) What pshould pwe pdo pbased pon pwhat pwe pexpect pwill phappen? pHow pdo pwe poptimize
pour pperformance pbased pon ppotential pconstraints?




16) What ptype pof pquestion pis pused pin pfinding pthe plevel pof psales pneeded pto pbreak peven?
A) What phappened? pWhat pis phappening?
B) Why pdid pit phappen? pWhat pare pthe proot pcauses pof ppast presults?
C) Will pit phappen pin pthe pfuture? pWhat pis pthe pprobability psomething pwill phappen? pIs
it pforecastable?
p


D) What pshould pwe pdo pbased pon pwhat pwe pexpect pwill phappen? pHow pdo pwe poptimize
pour pperformance pbased pon ppotential pconstraints?




4

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Vernon J. Richardson, Ryan Teeter, Katie Terrell Data Analytics for Accounting
Publisher: 2020 ISBN: 9781260837834 Edition: Unknown

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