SOLUTION gMANUAL gfor gData gAnalytics gfor
gAccounting, g3rd gEdition gby gVernon gRichardson,
Chapters g1 g- g9 g
g
1
,TABLE gOF gCONTENTS
Chapter g1: gData gAnalytics gfor gAccounting gand gIdentifying gthe gQuestions
Chapter g2: gMastering gthe gData
Chapter g3: gPerforming gthe gTest gPlan gand gAnalyzing gthe gResults
Chapter g4: gCommunicating gResults gand gVisualizations
Chapter g5: gThe gModern gAccounting gEnvironment
Chapter g6: gAudit gData gAnalytics
Chapter g7: gManagerial gAnalytics
Chapter g8: gFinancial gStatement gAnalytics
Chapter g9: gTax gAnalytics
2
,Solutions gManual g– gChapter g1
Solutions gto gMultiple gChoice gQuestions
1. (LO g1-1) gBig gData gis goften gdescribed gby gthe gfour gVs, gor
a. volume, gvelocity, gveracity, gand gvariability.
b. volume, gvelocity, gveracity, gand gvariety.
c. volume, gvolatility, gveracity, gand gvariability.
d. variability, gvelocity, gveracity, gand gvariety.
Answer: gb
2. LO g1-4) gWhich gdata gapproach gattempts gto gassign geach gunit gin ga gpopulation ginto ga
gsmall gset gofgclasses g(or ggroups) gwhere gthe gunit gbest gfits?
a. Regression
b. Similarity gmatching
c. Co-occurrence ggrouping
d. Classification
Answer: gd
3. (LO g1-4) gWhich gdata gapproach gattempts gto gidentify gsimilar gindividuals gbased gon gdata
gknowngabout gthem?
a. Classification
b. Regression
c. Similarity gmatching
d. Data greduction
Answer: gc
4. (LO g1-4) gWhich gdata gapproach gattempts gto gpredict gconnections gbetween gtwo gdata gitems?
a. Profiling
b. Classification
c. Link gprediction
d. Regression
3
, Answer: gc
5. (LO g1-6) gWhich gof gthese gterms gis gdefined gas gbeing ga gcentral grepository gof gdescriptions
gfor gall gofgthe gdata gattributes gof gthe gdataset?
a. Big gData
b. Data gwarehouse
c. Data gdictionary
d. Data gAnalytics
Answer: gc
6. (LO g1-5) gWhich gskills gwere gnot gemphasized gthat ganalytic-minded gaccountants gshould ghave?
a. Developed gan ganalytics gmindset
b. Data gscrubbing gand gdata gpreparation
c. Classification gof gtest gapproaches
d. Statistical gdata ganalysis gcompetency
Answer: gc
7. (LO g1-5) gIn gwhich gareas gwere gskills gnot gemphasized gfor ganalytic-minded gaccountants?
a. Data gquality
b. Descriptive gdata ganalysis
c. Data gvisualization gand gdata greporting
d. Data gand gsystems ganalysis gand gdesign
Answer: gd
8. (LO g1-4) gThe gIMPACT gcycle gincludes gall gexcept gthe gfollowing gsteps:
a. perform gtest gplan.
b. visualize gthe gdata.
c. master gthe gdata.
d. track goutcomes.
Answer: gb
9. (LO g1-4) gThe gIMPACT gcycle gspecifically gincludes gall gexcept gthe gfollowing gsteps:
a. data gpreparation.
b. communicate ginsights.
c. address gand grefine gresults.
d. perform gtest gplan.
4
gAccounting, g3rd gEdition gby gVernon gRichardson,
Chapters g1 g- g9 g
g
1
,TABLE gOF gCONTENTS
Chapter g1: gData gAnalytics gfor gAccounting gand gIdentifying gthe gQuestions
Chapter g2: gMastering gthe gData
Chapter g3: gPerforming gthe gTest gPlan gand gAnalyzing gthe gResults
Chapter g4: gCommunicating gResults gand gVisualizations
Chapter g5: gThe gModern gAccounting gEnvironment
Chapter g6: gAudit gData gAnalytics
Chapter g7: gManagerial gAnalytics
Chapter g8: gFinancial gStatement gAnalytics
Chapter g9: gTax gAnalytics
2
,Solutions gManual g– gChapter g1
Solutions gto gMultiple gChoice gQuestions
1. (LO g1-1) gBig gData gis goften gdescribed gby gthe gfour gVs, gor
a. volume, gvelocity, gveracity, gand gvariability.
b. volume, gvelocity, gveracity, gand gvariety.
c. volume, gvolatility, gveracity, gand gvariability.
d. variability, gvelocity, gveracity, gand gvariety.
Answer: gb
2. LO g1-4) gWhich gdata gapproach gattempts gto gassign geach gunit gin ga gpopulation ginto ga
gsmall gset gofgclasses g(or ggroups) gwhere gthe gunit gbest gfits?
a. Regression
b. Similarity gmatching
c. Co-occurrence ggrouping
d. Classification
Answer: gd
3. (LO g1-4) gWhich gdata gapproach gattempts gto gidentify gsimilar gindividuals gbased gon gdata
gknowngabout gthem?
a. Classification
b. Regression
c. Similarity gmatching
d. Data greduction
Answer: gc
4. (LO g1-4) gWhich gdata gapproach gattempts gto gpredict gconnections gbetween gtwo gdata gitems?
a. Profiling
b. Classification
c. Link gprediction
d. Regression
3
, Answer: gc
5. (LO g1-6) gWhich gof gthese gterms gis gdefined gas gbeing ga gcentral grepository gof gdescriptions
gfor gall gofgthe gdata gattributes gof gthe gdataset?
a. Big gData
b. Data gwarehouse
c. Data gdictionary
d. Data gAnalytics
Answer: gc
6. (LO g1-5) gWhich gskills gwere gnot gemphasized gthat ganalytic-minded gaccountants gshould ghave?
a. Developed gan ganalytics gmindset
b. Data gscrubbing gand gdata gpreparation
c. Classification gof gtest gapproaches
d. Statistical gdata ganalysis gcompetency
Answer: gc
7. (LO g1-5) gIn gwhich gareas gwere gskills gnot gemphasized gfor ganalytic-minded gaccountants?
a. Data gquality
b. Descriptive gdata ganalysis
c. Data gvisualization gand gdata greporting
d. Data gand gsystems ganalysis gand gdesign
Answer: gd
8. (LO g1-4) gThe gIMPACT gcycle gincludes gall gexcept gthe gfollowing gsteps:
a. perform gtest gplan.
b. visualize gthe gdata.
c. master gthe gdata.
d. track goutcomes.
Answer: gb
9. (LO g1-4) gThe gIMPACT gcycle gspecifically gincludes gall gexcept gthe gfollowing gsteps:
a. data gpreparation.
b. communicate ginsights.
c. address gand grefine gresults.
d. perform gtest gplan.
4
