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Exam (elaborations)

Complete Test Bank Business Analytics 3rd Edition Evans Questions & Answers with rationales ||Complete Guide

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Complete Test Bank Business Analytics 3rd Edition Evans Questions & Answers with rationales ||Complete Guide

Institution
Business Analytics 3rd Edition
Course
Business Analytics 3rd Edition











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Written for

Institution
Business Analytics 3rd Edition
Course
Business Analytics 3rd Edition

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Uploaded on
October 2, 2025
Number of pages
404
Written in
2025/2026
Type
Exam (elaborations)
Contains
Questions & answers

Subjects

Content preview

CompleteTestBankBusinessAnalytics3rd Edition
l l l l l l




Evans Questions & Answers with rationales
l l l l l l

, BusinessAnalytics3rd EditionEvansTestBank ds d
s




Test Bank - Table of Contents
l l l l l




Chapter Introduction to Business Analytics l l l 1
1:
l



Chapter 1: Appendix A1 Basic Excel Skills
l l l l l 16
Chapter Database Analytics l 24
2:
l



Chapter 3: Data Visualization
l l 37
Chapter Descriptive Statistics l 50
4:
l



Chapter Probability Distributions and Data Modeling
l l l l 92
5:
l



Chapter Sampling and Estimation l l 108
6:
l



Chapter Statistical Inference l 127
7:
l



Chapter Trendlines and Regression Analysis l l l 145
8:
l



Chapter Forecasting Techniques l 163
9:
l



Chapter Introduction to Data Mining l l l 184
10:
l



Chapter Spreadsheet Modeling and Analysis l l l 198
11:
l



Chapter Simulation and Risk Analysis l l l 223
12:
l



Chapter Linear Optimization
l 237
13:
l



Chapter Integer and Nonlinear Optimization Models
l l l l 260
14:
l



Chapter Optimization Analytics l 295
15:
l


Chapter 16: Decision Analysis
l l 313

,Chapter 1: l Introduction to Business Analytics l l l




1) Descriptive analytics: l


A) can predict risk and find relationships in data not readily apparent with
l l l l l l l l l l l


traditional analyses.
l l


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


C) helps detect hidden patterns in large quantities of data to group data
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into 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 l


Diff: 1
l l


Blooms: Remember
Topic: Descriptive, Predictive, and Prescriptive Analytics l l l l


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




2) A manager at Gampco Inc. wishes to know the company's revenue and
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profit in its previous quarter. Which of the following business
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analytics will help the manager?
l l l l l l


A) prescriptive analytics l


B) normative analytics l


C) descriptive analytics l


D) predictive analytics l


Answer: C
l


Diff: 1 l


Blooms: Apply
lAACSB:
Analytic Skills l


Topic: Descriptive, Predictive, and Prescriptive Analytics l l l l


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




3) Predictive analytics: l


A) summarizes data into meaningful charts and reports that can be standardized l l l l l l l l l l


or customized.
l l


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.
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D) detects patterns in historical data and extrapolates them forward in
l l l l l l l l l


time. Answer: D
l l


Diff: 2 l


Blooms: Remember
Topic: Descriptive, Predictive, and Prescriptive Analytics l l l l


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

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