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Exam (elaborations)

Test Bank for Business Analytics 3rd Edition Evans / All Chapters 1 - 16 / Full Complete Covered Verified Newest Version

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Test Bank for Business Analytics 3rd Edition Evans / All Chapters 1 - 16 / Full Complete Covered Verified Newest Version

Institution
Business Analytics
Course
Business Analytics











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Institution
Business Analytics
Course
Business Analytics

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Uploaded on
April 29, 2025
Number of pages
364
Written in
2024/2025
Type
Exam (elaborations)
Contains
Questions & answers

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Complete Test Bank Business Analytics 3rd
ds ds ds ds ds ds




Edition Evans Questions & Answers with
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rationales ds

, BusinessAnalytics3rdEditionEvansTestBank
ds ds ds ds sd ds




Test Bank - Table of Contents
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Chapter Introduction to Business Analytics ds ds d s 1
1:
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Chapter 1: Appendix A1 Basic Excel Skills
ds ds ds ds d s 16
Chapter Database Analytics ds 24
2:
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Chapter 3: Data Visualization
ds ds 37
Chapter Descriptive Statistics ds 50
4:
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Chapter Probability Distributions and Data Modeling ds d s ds d s 92
5:
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Chapter Sampling and Estimation d s d s 108
6:
d s




Chapter Statistical Inference ds 127
7:
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Chapter Trendlines and Regression Analysis ds ds ds 145
8:
d s




Chapter Forecasting Techniques ds 163
9:
d s




Chapter Introduction to Data Mining ds ds ds 184
10:
d s




Chapter Spreadsheet Modeling and Analysis ds ds ds 198
11:
d s




Chapter Simulation and Risk Analysis ds d s d s 223
12:
d s




Chapter Linear Optimization ds 237
13:
d s




Chapter Integer and Nonlinear Optimization Models
ds d s d s d s 260
14:
d s




Chapter Optimization Analytics ds 295
15:
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Chapter 16: Decision Analysis
ds ds 313

,Chapter 1: ds d s d s Introduction to Business Analytics d s d s d s




1) Descriptive analytics: ds



A) can predict risk and find relationships in data not readily apparent with traditional
ds d s d s d s d s d s d s d s d s ds d s ds



analyses.
d s



B) helps companies classify their customers into segments to develop specific
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marketing campaigns.
ds ds



C) helps detect hidden patterns in large quantities of data to group data into
d s d s ds d s d s ds d s ds d s d s ds ds



sets to predict behavior.
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D) can use mathematical techniques with optimization to make decisions that take into
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account the uncertainty in the data.
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Answer: B ds



Diff: 1
ds ds



Blooms: Remember
Topic: Descriptive, Predictive, and Prescriptive Analytics
d s d s ds d s ds ds



LO1: Illustrate examples of descriptive, predictive, and prescriptive analytics.
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2) A manager at Gampco Inc. wishes to know the company's revenue and profit
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in its previous quarter. Which of the following business analytics will
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d shelp the manager? d s d s



A) prescriptive analytics ds



B) normative analytics d s



C) descriptive analytics ds



D) predictive analytics ds



Answer: C
ds d s



Diff: 1 ds



Blooms: Apply
AACSB:
ds



Analytic Skills
d s ds



Topic: Descriptive, Predictive, and Prescriptive Analytics
d s d s ds d s ds ds



LO1: Explain the difference between descriptive, predictive, and prescriptive analytics.
d s d s d s ds d s d s d s ds d s ds




3) Predictive analytics: ds



A) summarizes data into meaningful charts and reports that can be standardized or
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customized.
d s



B) identifies the best alternatives to minimize or maximize an objective.
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C) uses data to determine a course of action to be executed in a given situation.
d s d s d s d s d s d s d s d s d s d s d s ds d s d s



D) detects patterns in historical data and extrapolates them forward in
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time. Answer: D
ds ds d s



Diff: 2 ds



Blooms: Remember
Topic: Descriptive, Predictive, and Prescriptive Analytics
d s d s ds d s ds ds



LO1: Illustrate examples of descriptive, predictive, and prescriptive analytics.
ds ds d s d s ds d s d s d s

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