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SOLUTION MANUAL FOR DATA ANALYTICS FOR ACCOUNTING, 3RD EDITION RICHARDSON

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  • Data Analytics for Accounting
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  • Data Analytics For Accounting

SOLUTION MANUAL FOR DATA ANALYTICS FOR ACCOUNTING, 3RD EDITION RICHARDSON

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  • August 4, 2024
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  • 2024/2025
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  • Data Analytics for Accounting
  • Data Analytics for Accounting
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MASTERGRADE01
SOLUTION
MANUAL
FOR DATA
ANALYTICS
FOR
ACCOUNTI

,NG, 3RD
EDITION
RICHARDS
ON

, Solutions Manual – Chapter 1
s s s s



Solutions sto sMultiple sChoice sQuestions

1. (LO s1-1) sBig sData sis soften sdescribed sby sthe sfour sVs, sor

a. volume, svelocity, sveracity, sand svariability.
b. volume, svelocity, sveracity, sand svariety.
c. volume, svolatility, sveracity, sand svariability.
d. variability, svelocity, sveracity, sand svariety.

Answer: sb

2. LO s1-4) sWhich sdata sapproach sattempts sto sassign seach sunit sin sa spopulation sinto sa ssmall sset
sof sclasses s(or sgroups) swhere sthe sunit sbest sfits?



a. Regression
b. Similarity smatching
c. Co-occurrence sgrouping
d. Classification

Answer: sd

3. (LO s1-4) sWhich sdata sapproach sattempts sto sidentify ssimilar sindividuals sbased son sdata
sknown sabout sthem?



a. Classification
b. Regression
c. Similarity smatching
d. Data sreduction

Answer: sc

4. (LO s1-4) sWhich sdata sapproach sattempts sto spredict sconnections sbetween stwo sdata sitems?

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

Answer: sc


5. (LO s1-6) sWhich sof sthese sterms sis sdefined sas sbeing sa scentral srepository sof sdescriptions sfor sall
sof sthe sdata sattributes sof sthe sdataset?




Croesus steacher

, a. Big sData
b. Data swarehouse
c. Data sdictionary
d. Data sAnalytics

Answer: sc

6. (LO s1-5) sWhich sskills swere snot semphasized sthat sanalytic-minded saccountants sshould shave?

a. Developed san sanalytics smindset
b. Data sscrubbing sand sdata spreparation
c. Classification sof stest sapproaches
d. Statistical sdata sanalysis scompetency

Answer: sc

7. (LO s1-5) sIn swhich sareas swere sskills snot semphasized sfor sanalytic-minded saccountants?

a. Data squality
b. Descriptive sdata sanalysis
c. Data svisualization sand sdata sreporting
d. Data sand ssystems sanalysis sand sdesign

Answer: sd

8. (LO s1-4) sThe sIMPACT scycle sincludes sall sexcept sthe sfollowing ssteps:

a. perform stest splan.
b. visualize sthe sdata.
c. master sthe sdata.
d. track soutcomes.

Answer: sb

9. (LO s1-4) sThe sIMPACT scycle sspecifically sincludes sall sexcept sthe sfollowing ssteps:

a. data spreparation.
b. communicate sinsights.
c. address sand srefine sresults.
d. perform stest splan.

Answer: sa


10. LO s1-1) sBy sthe syear s2024, sthe svolume sof sdata screated, scaptured, scopied, sand
sconsumed sworldwide swill sbe s149 s .




Croesus steacher

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