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Test Bank – Business Analytics (James R. Evans, 3rd Edition) | 2025 Revised & Verified Complete Chapters 1-16 Solutions

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Prepare with confidence using the Test Bank – Business Analytics (James R. Evans, 3rd Edition). This updated 2025 Revised & Verified edition offers complete solutions for Chapters 1–16, making it your ultimate resource for mastering business analytics concepts. Designed for students, educators, and professionals, this test bank covers topics including descriptive, predictive, and prescriptive analytics, data visualization, statistical modeling, optimization, and simulation. Whether you’re tackling case studies or exam questions, each solution is crafted for clarity and accuracy, ensuring better understanding and higher grades. Perfect for business, management, and analytics courses, this comprehensive resource supports both learning and teaching, saving time while improving results.

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Test Bank – Business Analytics (James R. Evans, 3rd Edition) |
2025 Revised & Verified Complete Chapters 1-16 Solutions




Page | 1

, Table of Contents
Chapter 1: Introduction to Business Analytics

Chapter 1: Appendix A1 Basic Excel Skills

Chapter 2: Database Analytics

Chapter 3: Data Visualization

Chapter 4: Descriptive Statistics

Chapter 5: Probability Distributions and Data Modeling

Chapter 6: Sampling and Estimation

Chapter 7: Statistical Inference

Chapter 8: Trendlines and Regression Analysis

Chapter 9: Forecasting Techniques

Chapter 10: Introduction to Data Mining

Chapter 11: Spreadsheet Modeling and Analysis

Chapter 12: Simulation and Risk Analysis

Chapter 13: Linear Optimization

Chapter 14: Integer and Nonlinear Optimization Models

Chapter 15: Optimization Analytics

Chapter 16: Decision Analysis




Page | 2

, Chapter 1: Introduction to Business Analytics

1) Descriptive analytics:

A) can predict risk and find relationships in data not readily apparent with traditional analyses.

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

C) helps detect hidden patterns in large quantities of data to group data into sets to predict behavior.

D) can use mathematical techniques with optimization to make decisions that take into account
the uncertainty in the data.

Correct Answer: B Diff: 1

Blooms: Remember

Topic: Descriptive, Predictive, and Prescriptive Analytics

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



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

A) prescriptive analytics

B) normative analytics

C) descriptive analytics

D) predictive analytics Correct Answer: C

Diff: 1

Blooms: Apply AACSB: Analytic Skills

Topic: Descriptive, Predictive, and Prescriptive Analytics

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



3) Predictive analytics:

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

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

C) uses data to determine a course of action to be executed in a given situation.


Page | 3

, D) detects patterns in historical data and extrapolates them forward in time. Correct Answer: D

Diff: 2

Blooms: Remember

Topic: Descriptive, Predictive, and Prescriptive Analytics

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



4) A trader who wants to predict short-term movements in stock prices is likely to use analytics.

A) predictive

B) descriptive

C) normative

D) prescriptive Correct Answer: A Diff: 1

Blooms: Apply AACSB: Analytic Skills

Topic: Descriptive, Predictive, and Prescriptive Analytics

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



5) Which of the following questions will prescriptive analytics help a company address?

A) How many and what types of complaints did they resolve?

B) What is the best way of shipping goods from their factories to minimize costs?

C) What do they expect to pay for fuel over the next several months?

D) What will happen if demand falls by 10% or if supplier prices go up 5%? Correct Answer: B

Diff: 2

Blooms: Understand AACSB: Analytic Skills

Topic: Descriptive, Predictive, and Prescriptive Analytics

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




Page | 4

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James R. Evans Business Analytics
Publisher: 2013 ISBN: 9780133051711 Edition: Unknown

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