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Exam (elaborations)

Test Bank for Business Analytics 3rd Edition Evans / All Chapters 1 - 16 / Fully Covered 9780135231678 Questions & Answers with Rationales Newest Version

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Test Bank for Business Analytics 3rd Edition Evans / All Chapters 1 - 16 / Fully Covered 9780135231678 Questions & Answers with Rationales Newest Version

Institution
Business Analytics
Course
Business Analytics











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Written for

Institution
Business Analytics
Course
Business Analytics

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Uploaded on
May 7, 2025
Number of pages
468
Written in
2024/2025
Type
Exam (elaborations)
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CompleteTestBankBusinessAnalytics3rd
gf gf gf gf gf




Edition Evans Questions & Answers with
gf gf gf gf gf gf




rationales gf

, BusinessAnalytics3rd EditionEvansTestBank ds d
s




Test g f Bank g f - g f Table g f of g f Contents



Chapter Introduction g f to g f Business g f Analytics 1
1: gf




Chapter Appendix g f A1 Basic g f g f Excel g f Skills 16
1:
g f




Chapter Database Analytics g f 24
2: gf




Chapter Data Visualization
g f 37
3:
g f




Chapter Descriptive Statistics g f 50
4: gf




Chapter Probability Distributions g f g f and g f Data g f Modeling 92
5: gf




Chapter Sampling g f and g f Estimation 108
6: gf




Chapter Statistical Inference g f 127
7: gf




Chapter Trendlines and Regression Analysis g f g f g f 145
8: gf




Chapter Forecasting Techniques gf 163
9: gf




Chapter Introduction g f to g f Data g f Mining 184
10: gf




Chapter Spreadsheet g f Modeling and g f g f Analysis 198
11: gf




Chapter Simulation g f and g f Risk g f Analysis 223
12: gf




Chapter Linear g f Optimization 237
13: gf




Chapter Integer g f and g f Nonlinear g f Optimization g f Models 260
14: gf




Chapter Optimization Analytics g f 295
15: gf




Chapter Decision Analysis g f 313
16:
g f

,Chapter g f 1: Introduction g f to g f Business g f Analytics

1) Descriptive analytics: g f



A) can predict risk and find relationships in data not readily apparent
g f g f g f g f g f g f g f g f g f g f



with traditional analyses.
g f g f gf



B) helps companies classify their customers into segments to develop specific
gf gf gf gf gf gf gf gf gf



marketing campaigns.
gf gf



C) helps detect hidden patterns in large quantities of data to
g f g f gf g f g f gf g f gf g f



group data into sets to predict behavior.
g f gf gf gf g f gf gf



D) can use mathematical techniques with optimization to make decisions that take into
gf gf gf gf gf gf gf gf gf gf gf



account the uncertainty in the data.
gf gf gf gf gf gf



Answer: B g f



Diff: 1
gf gf



Blooms: Remember
Topic: Descriptive, Predictive, and Prescriptive Analytics g f g f g f g f



LO1: Illustrate examples of descriptive, predictive, and prescriptive analytics.
g f g f g f g f g f g f g f g f




2) A manager at Gampco Inc. wishes to know the company's
g f g f g f g f g f g f g f gf gf



revenue and profit in its previous
g f quarter. Which of the gf g f gf g f gf g f g f g f g f g f g f g f g f g f



following
g f business analytics will help the manager? g f g f g f g f g f g f gf g f g f



A) prescriptive analytics g f



B) normative analytics g f



C) descriptive analytics g f



D) predictive analytics gf



Answer: C
gf



Diff: 1 g f



Blooms: Apply
AACSB:
gf



Analytic Skills gf



Topic: Descriptive, Predictive, and Prescriptive Analytics g f g f g f g f



LO1: Explain the difference between descriptive, predictive, and g f g f g f g f g f g f g f prescriptive
g analytics.
f




3) Predictive analytics: g f



A) summarizes data into meaningful charts and reports that can be g f g f g f g f g f g f g f g f g f



standardized or customized.
g f g f gf



B) identifies the best alternatives to minimize or maximize an objective. g f g f g f g f g f g f g f g f g f



C) uses data to determine a course of action to be executed in a given
g f g f g f g f g f g f g f g f g f g f g f g f g f



situation. g f



D) detects patterns in historical data and extrapolates them forward in
gf gf gf gf gf gf gf gf gf



time. Answer: D
gf gf



Diff: 2 g f



Blooms: Remember
Topic: Descriptive, Predictive, and Prescriptive Analytics g f g f g f g f



LO1: Illustrate examples of descriptive, predictive, and prescriptive analytics.
g f g f g f g f g f g f g f g f

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