Complete Test Bank Business Analytics 3rd
x x x x x x
xEdition Evans Questions & Answers with
x x x x x x
rationales
x
, Business Analytics 3rd Edition Evans Test Bank
x x x x x x
Test x Bank x - x Table x of x Contents
Chapter x 1: Introduction x to x Business x Analytics 1
Chapter x 1: Appendix x A1 x Basic x Excel x Skills 16
Chapter x 2: Database x Analytics 24
Chapter x 3: Data x Visualization 37
Chapter x 4: Descriptive x Statistics 50
Chapter x 5: Probability x Distributions x and x Data x Modeling 92
Chapter x 6: Sampling x and x Estimation 108
Chapter x 7: Statistical x Inference 127
Chapter x 8: Trendlines x and x Regression x Analysis 145
Chapter x 9: Forecasting xTechniques 163
Chapter x 10: Introduction x to x Data x Mining 184
Chapter x 11: Spreadsheet x Modeling x and x Analysis 198
Chapter x 12: Simulation x and x Risk x Analysis 223
Chapter x 13: Linear x Optimization 237
Chapter x 14: Integer x and x Nonlinear x Optimization x Models 260
Chapter x 15: Optimization x Analytics 295
Chapter x 16: Decision x Analysis 313
,Chapter x 1: x x Introduction x to x Business x Analytics
1) Descriptive x analytics:
A) can x predict x risk x and x find x relationships x in x data x not x readily x apparent x with x traditional
x analyses.
B) helps xcompanies xclassify xtheir xcustomers xinto xsegments xto xdevelop xspecific
xmarketing xcampaigns.
C) helps x detect x hidden xpatterns x in x large xquantities x of xdata x to x group xdata xinto
xsets x to xpredict xbehavior.
D) can xuse xmathematical xtechniques xwith xoptimization xto xmake xdecisions xthat xtake xinto
x account xthe xuncertainty xin xthe xdata.
Answer: x B
xDiff: x1
Blooms: Remember
Topic: x x Descriptive, x Predictive, x and x Prescriptive x Analytics
LO1: x Illustrate x examples x of x descriptive, x predictive, x and x prescriptive x analytics.
2) A x manager x at x Gampco x Inc. x wishes x to x know xthe xcompany's x revenue xand x profit
x in x its xprevious x quarter. x Which x of x the x following x business x analytics x will x help
x the x manager?
A) prescriptive x analytics
B) normative x analytics
C) descriptive x analytics
D) predictive
xanalytics xAnswer:
x C
Diff: x 1
Blooms: Apply
xAACSB:
x Analytic xSkills
Topic: x x Descriptive, x Predictive, x and x Prescriptive x Analytics
LO1: x x Explain x the x difference x between x descriptive, x predictive, x and x prescriptive x analytics.
3) Predictive x analytics:
A) summarizes x data x into x meaningful x charts x and x reports x that x can x be x standardized x or
x customized.
B) identifies x the x best x alternatives x to x minimize x or x maximize x an x objective.
C) uses x data x to x determine x a x course x of x action x to x be x executed x in x a x given x situation.
D) detects xpatterns xin xhistorical xdata xand xextrapolates xthem xforward xin
xtime. xAnswer: x D
Diff: x 2
Blooms: Remember
Topic: x x Descriptive, x Predictive, x and x Prescriptive x Analytics
LO1: x Illustrate x examples x of x descriptive, x predictive, x and x prescriptive x analytics.
, 1
x x x x x x
xEdition Evans Questions & Answers with
x x x x x x
rationales
x
, Business Analytics 3rd Edition Evans Test Bank
x x x x x x
Test x Bank x - x Table x of x Contents
Chapter x 1: Introduction x to x Business x Analytics 1
Chapter x 1: Appendix x A1 x Basic x Excel x Skills 16
Chapter x 2: Database x Analytics 24
Chapter x 3: Data x Visualization 37
Chapter x 4: Descriptive x Statistics 50
Chapter x 5: Probability x Distributions x and x Data x Modeling 92
Chapter x 6: Sampling x and x Estimation 108
Chapter x 7: Statistical x Inference 127
Chapter x 8: Trendlines x and x Regression x Analysis 145
Chapter x 9: Forecasting xTechniques 163
Chapter x 10: Introduction x to x Data x Mining 184
Chapter x 11: Spreadsheet x Modeling x and x Analysis 198
Chapter x 12: Simulation x and x Risk x Analysis 223
Chapter x 13: Linear x Optimization 237
Chapter x 14: Integer x and x Nonlinear x Optimization x Models 260
Chapter x 15: Optimization x Analytics 295
Chapter x 16: Decision x Analysis 313
,Chapter x 1: x x Introduction x to x Business x Analytics
1) Descriptive x analytics:
A) can x predict x risk x and x find x relationships x in x data x not x readily x apparent x with x traditional
x analyses.
B) helps xcompanies xclassify xtheir xcustomers xinto xsegments xto xdevelop xspecific
xmarketing xcampaigns.
C) helps x detect x hidden xpatterns x in x large xquantities x of xdata x to x group xdata xinto
xsets x to xpredict xbehavior.
D) can xuse xmathematical xtechniques xwith xoptimization xto xmake xdecisions xthat xtake xinto
x account xthe xuncertainty xin xthe xdata.
Answer: x B
xDiff: x1
Blooms: Remember
Topic: x x Descriptive, x Predictive, x and x Prescriptive x Analytics
LO1: x Illustrate x examples x of x descriptive, x predictive, x and x prescriptive x analytics.
2) A x manager x at x Gampco x Inc. x wishes x to x know xthe xcompany's x revenue xand x profit
x in x its xprevious x quarter. x Which x of x the x following x business x analytics x will x help
x the x manager?
A) prescriptive x analytics
B) normative x analytics
C) descriptive x analytics
D) predictive
xanalytics xAnswer:
x C
Diff: x 1
Blooms: Apply
xAACSB:
x Analytic xSkills
Topic: x x Descriptive, x Predictive, x and x Prescriptive x Analytics
LO1: x x Explain x the x difference x between x descriptive, x predictive, x and x prescriptive x analytics.
3) Predictive x analytics:
A) summarizes x data x into x meaningful x charts x and x reports x that x can x be x standardized x or
x customized.
B) identifies x the x best x alternatives x to x minimize x or x maximize x an x objective.
C) uses x data x to x determine x a x course x of x action x to x be x executed x in x a x given x situation.
D) detects xpatterns xin xhistorical xdata xand xextrapolates xthem xforward xin
xtime. xAnswer: x D
Diff: x 2
Blooms: Remember
Topic: x x Descriptive, x Predictive, x and x Prescriptive x Analytics
LO1: x Illustrate x examples x of x descriptive, x predictive, x and x prescriptive x analytics.
, 1
