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Complete Test Bank Business Analytics 3rd Edition Evans All Chapters Covered ||Complete A+ Guide

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Complete Test Bank Business Analytics 3rd Edition Evans All Chapters Covered ||Complete A+ Guide

Institution
Business Analytics
Course
Business Analytics











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Institution
Business Analytics
Course
Business Analytics

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Uploaded on
April 16, 2025
Number of pages
336
Written in
2025/2026
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Exam (elaborations)
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Complete Test Bank Business Analytics 3rd
Edition Evans Questions & Answers with
rationales

, Business Analytics 3rd Edition Evans Test Bank
q q q q q q




Test qBank q- qTable qof qContents



Chapter q1: Introduction qto qBusiness qAnalytics 1
Chapter q1: Appendix qA1 qBasic qExcel qSkills 16
Chapter q2: Database qAnalytics 24
Chapter q3: Data qVisualization 37
Chapter q4: Descriptive qStatistics 50
Chapter q5: Probability qDistributions qand qData qModeling 92
Chapter q6: Sampling qand qEstimation 108
Chapter q7: Statistical qInference 127
Chapter q8: Trendlines qand qRegression qAnalysis 145
Chapter q9: Forecasting qTechniques 163
Chapter q10: Introduction qto qData qMining 184
Chapter q11: Spreadsheet qModeling qand qAnalysis 198
Chapter q12: Simulation qand qRisk qAnalysis 223
Chapter q13: Linear qOptimization 237
Chapter q14: Integer qand qNonlinear qOptimization qModels 260
Chapter q15: Optimization qAnalytics 295
Chapter q16: Decision qAnalysis 313

,Chapter q1: q Introduction qto qBusiness qAnalytics

1) Descriptive qanalytics:
A) can qpredict qrisk qand qfind qrelationships qin qdata qnot qreadily qapparent qwith qtraditional qanalyses.
B) helps qcompanies qclassify qtheir qcustomers qinto qsegments qto qdevelop qspecific
qmarketing qcampaigns.

C) helps qdetect qhidden qpatterns qin qlarge qquantities qof qdata qto qgroup qdata qinto qsets qto
qpredict qbehavior.

D) can quse qmathematical qtechniques qwith qoptimization qto qmake qdecisions qthat qtake qinto
qaccount qthe quncertainty qin qthe qdata.

Answer: q B
qDiff: q1

Blooms: q Remember
Topic: q Descriptive, qPredictive, qand qPrescriptive qAnalytics
LO1: qIllustrate qexamples qof qdescriptive, qpredictive, qand qprescriptive qanalytics.


2) A qmanager qat qGampco qInc. qwishes qto qknow qthe qcompany's qrevenue qand qprofit qin qits
qprevious qquarter. qWhich qof qthe qfollowing qbusiness qanalytics qwill qhelp qthe qmanager?

A) prescriptive qanalytics
B) normative qanalytics
C) descriptive qanalytics
D) predictive qanalytics
qAnswer: q C

Diff: q1
Blooms: q Apply
qAACSB: q Analytic

qSkills

Topic: q Descriptive, qPredictive, qand qPrescriptive qAnalytics
LO1: q Explain qthe qdifference qbetween qdescriptive, qpredictive, qand qprescriptive qanalytics.


3) Predictive qanalytics:
A) summarizes qdata qinto qmeaningful qcharts qand qreports qthat qcan qbe qstandardized qor qcustomized.
B) identifies qthe qbest qalternatives qto qminimize qor qmaximize qan qobjective.
C) uses qdata qto qdetermine qa qcourse qof qaction qto qbe qexecuted qin qa qgiven qsituation.
D) detects qpatterns qin qhistorical qdata qand qextrapolates qthem qforward qin
qtime. qAnswer: q D

Diff: q2
Blooms: q Remember
Topic: q Descriptive, qPredictive, qand qPrescriptive qAnalytics
LO1: qIllustrate qexamples qof qdescriptive, qpredictive, qand qprescriptive qanalytics.




1

, Chapter q1: q Introduction qto qBusiness Business qAnalytics, q3e
qAnalytics q 11


4) A qtrader qwho qwants qto qpredict qshort-term qmovements qin qstock qprices qis qlikely qto quse q
qanalytics.

A) predictive
B) descriptive
C) normative
D) prescriptive
qAnswer: qA

qDiff: q1

Blooms: q Apply
qAACSB: q Analytic

qSkills

Topic: q Descriptive, qPredictive, qand qPrescriptive qAnalytics
LO1: q Explain qthe qdifference qbetween qdescriptive, qpredictive, qand qprescriptive qanalytics.


5) Which qof qthe qfollowing qquestions qwill qprescriptive qanalytics qhelp qa qcompany qaddress?
A) How qmany qand qwhat qtypes qof qcomplaints qdid qthey qresolve?
B) What qis qthe qbest qway qof qshipping qgoods qfrom qtheir qfactories qto qminimize qcosts?
C) What qdo qthey qexpect qto qpay qfor qfuel qover qthe qnext qseveral qmonths?
D) What qwill qhappen qif qdemand qfalls qby q10% qor qif qsupplier qprices qgo qup
q5%? qAnswer: q B

Diff: q2
Blooms: qUnderstand
qAACSB: q Analytic

qSkills

Topic: q Descriptive, qPredictive, qand qPrescriptive qAnalytics
LO1: qIllustrate qexamples qof qdescriptive, qpredictive, qand qprescriptive qanalytics.


6) The qdemand qfor qcoffee qbeans qover qa qperiod qof qthree qmonths qhas qbeen qrepresented qin qthe
qform qof qan qL-shaped qcurve. qWhich qform qof qmodel qwas qused qhere?

A) mathematical qmodel
B) visual qmodel
C) kinesthetic q(tactile) qmodel
D) verbal qmodel
qAnswer: q B

q Diff: q1

Blooms: q Apply
qAACSB: q Analytic

qSkills

Topic: q Models qin qBusiness qAnalytics
LO1: q Explain qthe qconcept qof qa qmodel qand qvarious qways qa qmodel qcan qbe qcharacterized.


7) Decision qvariables:
A) cannot qbe qdirectly qcontrolled qby qthe qdecision qmaker.
B) are qassumed qto qbe qconstant.
C) are qalways quncertain.
D) can qbe qselected qat qthe qdiscretion qof qthe qdecision qmaker.



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