, TEST BANK f
PAOLO CATASTI f
Virginia Commonwealth University
f f
BUSINESS ANALYTICS f
SECOND EDITION f
James R. Evans f f
University of Cincinnati f f
Boston f f f Columbus f f f Hoboken f f f Indianapolis f f f New f York f f f San f Francisco
f Amsterdam f fCape fTown f Dubai f London f Madrid f Milan f Munich f Paris f Montreal f Toronto
Delhi f Mexico fCity f f Sao fPaulo f f Sydney f f Hong fKong f f Seoul f f Singapore f f Taipei f f Tokyo
,The fauthor fand fpublisher fof fthis fbook fhave fused ftheir fbest fefforts fin fpreparing fthis fbook. fThese fefforts finclude fthe
f development, fresearch, fand ftesting fof fthe ftheories fand fprograms fto fdetermine ftheir feffectiveness. fThe fauthor fand
f publisher fmake fno fwarranty fof fany fkind, fexpressed for fimplied, fwith fregard fto fthese fprograms for fthe fdocumentation
contained fin fthis fbook. fThe fauthor fand fpublisher fshall fnot fbe fliable fin fany fevent ffor fincidental for fconsequential
f
f damages fin fconnection fwith, for farising fout fof, fthe ffurnishing, fperformance, for fuse fof fthese fprograms.
Reproduced fby fPearson ffrom felectronic ffiles fsupplied fby fthe fauthor.
Copyright f© f2016, f2013 f Pearson fEducation, fInc.
Publishing fas fPearson, f75 fArlington fStreet, fBoston, fMA f 02116.
All frights freserved. fNo fpart fof fthis fpublication fmay fbe freproduced, fstored fin fa fretrieval fsystem, for ftransmitted, fin fany
form for fby fany fmeans, felectronic, fmechanical, fphotocopying, frecording, for fotherwise, fwithout fthe fprior fwritten
f
f permission fof fthe fpublisher. fPrinted fin fthe fUnited fStates fof fAmerica.
ISBN-13: f978-0-13-384680-5
ISBN-10: f0-133-84680-6
www.pearsonhighered.com
, Business Analytics, 2e 1 f f f
Business Analytics (Evans) f f
Chapter 1 Introduction to Business Analyticsf f f f f
1) Descriptive analytics: f
A) can predict risk and find relationships in data not readily apparent with traditional analyses.
f f f f f f f f f f f f f
B) helps companies classify their customers into segments to develop specific marketing
f f f f f f f f f f
campaigns.
f
C) helps detect hidden patterns in large quantities of data to group data into sets to predict
f f f f f f f f f f f f f f f
behavior.
f
D) can use mathematical techniques with optimization to make decisions that take into account
f f f f f f f f f f f f
the uncertainty in the data.
f f f f f
Answer:
fBDiff: 1
f f
Blooms: Remember f
Topic: Scope of Business Analytics
f f f f
LO1: Explain and provide examples of descriptive, predictive, and prescriptive analytics.LO2:
f f f f f f f f f f f
fCompare and contrast tools for presenting and organizing data
f f f f f f f f
2) A manager at Gampco Inc. wishes to know the company's revenue and profit in its previous
f f f f f f f f f f f f f f f
quarter. Which of the following business analytics will help the manager?
f f f f f f f f f f f
A) prescriptive analytics f
B) normative analytics f
C) descriptive analytics f
D) predictive analytics f
Answer: C
f f
Diff: 1 f
Blooms: Apply fff
AACSB: Analytic
f f
Skills
f
Topic: Scope of Business Analytics
f f f f
LO1: Explain and provide examples of descriptive, predictive, and prescriptive analytics.LO2:
f f f f f f f f f f f
fDescribe the major tools and criteria for decision making.
f f f f f f f f
3) Predictive analytics: f
A) summarizes data into meaningful charts and reports that can be standardized or customized. f f f f f f f f f f f f
B) identifies the best alternatives to minimize or maximize an objective.
f f f f f f f f f
C) uses data to determine a course of action to be executed in a given situation.
f f f f f f f f f f f f f f
D) detects patterns in historical data and extrapolates them forward in time.
f f f f f f f f f f
Answer: D
f f
Diff: 2 f
Blooms: Remember f
Topic: Scope of Business Analytics
f f f f
LO1: Explain and provide examples of descriptive, predictive, and prescriptive analytics.LO2:
f f f f f f f f f f f
fCompare and contrast tools for presenting and organizing data
f f f f f f f f
Copyright © 2016 Pearson Education, Inc. f f f f f
PAOLO CATASTI f
Virginia Commonwealth University
f f
BUSINESS ANALYTICS f
SECOND EDITION f
James R. Evans f f
University of Cincinnati f f
Boston f f f Columbus f f f Hoboken f f f Indianapolis f f f New f York f f f San f Francisco
f Amsterdam f fCape fTown f Dubai f London f Madrid f Milan f Munich f Paris f Montreal f Toronto
Delhi f Mexico fCity f f Sao fPaulo f f Sydney f f Hong fKong f f Seoul f f Singapore f f Taipei f f Tokyo
,The fauthor fand fpublisher fof fthis fbook fhave fused ftheir fbest fefforts fin fpreparing fthis fbook. fThese fefforts finclude fthe
f development, fresearch, fand ftesting fof fthe ftheories fand fprograms fto fdetermine ftheir feffectiveness. fThe fauthor fand
f publisher fmake fno fwarranty fof fany fkind, fexpressed for fimplied, fwith fregard fto fthese fprograms for fthe fdocumentation
contained fin fthis fbook. fThe fauthor fand fpublisher fshall fnot fbe fliable fin fany fevent ffor fincidental for fconsequential
f
f damages fin fconnection fwith, for farising fout fof, fthe ffurnishing, fperformance, for fuse fof fthese fprograms.
Reproduced fby fPearson ffrom felectronic ffiles fsupplied fby fthe fauthor.
Copyright f© f2016, f2013 f Pearson fEducation, fInc.
Publishing fas fPearson, f75 fArlington fStreet, fBoston, fMA f 02116.
All frights freserved. fNo fpart fof fthis fpublication fmay fbe freproduced, fstored fin fa fretrieval fsystem, for ftransmitted, fin fany
form for fby fany fmeans, felectronic, fmechanical, fphotocopying, frecording, for fotherwise, fwithout fthe fprior fwritten
f
f permission fof fthe fpublisher. fPrinted fin fthe fUnited fStates fof fAmerica.
ISBN-13: f978-0-13-384680-5
ISBN-10: f0-133-84680-6
www.pearsonhighered.com
, Business Analytics, 2e 1 f f f
Business Analytics (Evans) f f
Chapter 1 Introduction to Business Analyticsf f f f f
1) Descriptive analytics: f
A) can predict risk and find relationships in data not readily apparent with traditional analyses.
f f f f f f f f f f f f f
B) helps companies classify their customers into segments to develop specific marketing
f f f f f f f f f f
campaigns.
f
C) helps detect hidden patterns in large quantities of data to group data into sets to predict
f f f f f f f f f f f f f f f
behavior.
f
D) can use mathematical techniques with optimization to make decisions that take into account
f f f f f f f f f f f f
the uncertainty in the data.
f f f f f
Answer:
fBDiff: 1
f f
Blooms: Remember f
Topic: Scope of Business Analytics
f f f f
LO1: Explain and provide examples of descriptive, predictive, and prescriptive analytics.LO2:
f f f f f f f f f f f
fCompare and contrast tools for presenting and organizing data
f f f f f f f f
2) A manager at Gampco Inc. wishes to know the company's revenue and profit in its previous
f f f f f f f f f f f f f f f
quarter. Which of the following business analytics will help the manager?
f f f f f f f f f f f
A) prescriptive analytics f
B) normative analytics f
C) descriptive analytics f
D) predictive analytics f
Answer: C
f f
Diff: 1 f
Blooms: Apply fff
AACSB: Analytic
f f
Skills
f
Topic: Scope of Business Analytics
f f f f
LO1: Explain and provide examples of descriptive, predictive, and prescriptive analytics.LO2:
f f f f f f f f f f f
fDescribe the major tools and criteria for decision making.
f f f f f f f f
3) Predictive analytics: f
A) summarizes data into meaningful charts and reports that can be standardized or customized. f f f f f f f f f f f f
B) identifies the best alternatives to minimize or maximize an objective.
f f f f f f f f f
C) uses data to determine a course of action to be executed in a given situation.
f f f f f f f f f f f f f f
D) detects patterns in historical data and extrapolates them forward in time.
f f f f f f f f f f
Answer: D
f f
Diff: 2 f
Blooms: Remember f
Topic: Scope of Business Analytics
f f f f
LO1: Explain and provide examples of descriptive, predictive, and prescriptive analytics.LO2:
f f f f f f f f f f f
fCompare and contrast tools for presenting and organizing data
f f f f f f f f
Copyright © 2016 Pearson Education, Inc. f f f f f
