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Business Analytics 2nd Edition Test Bank – Evans (All Chapters Covered)

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Test Bank for Business Analytics, 2nd Edition by James R. Evans provides a detailed, chapter-by-chapter collection of exam-style questions and answers aligned precisely with every section of the text: Part I Foundations of Business Analytics – Chapter 1 Introduction to Business Analytics; Chapter 2 Analytics on Spreadsheets; Part II Descriptive Analytics – Chapter 3 Visualizing and Exploring Data; Chapter 4 Descriptive Statistical Measures; Chapter 5 Probability Distributions and Data Modeling; Chapter 6 Sampling and Estimation; Chapter 7 Statistical Inference; Part III Predictive Analytics – Chapter 8 Trendlines and Regression Analysis; Chapter 9 Forecasting Techniques; Chapter 10 Introduction to Data Mining; Chapter 11 Spreadsheet Modeling and Analysis; Chapter 12 Monte Carlo Simulation and Risk Analysis; Part IV Prescriptive Analytics – Chapter 13 Linear Optimization; Chapter 14 Applications of Linear Optimization; Chapter 15 Integer Optimization; Chapter 16 Decision Analysis; Supplementary online Chapter A Nonlinear and Non-Smooth Optimization; Supplementary online Chapter B Optimization Models with Uncertainty; plus Appendix A and Glossary. This complete test bank is ideal for instructors designing assessments and for students aiming for mastery in analytics tools and strategies—from descriptive and predictive techniques to prescriptive modeling, decision analysis, and risk simulation

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Business Analytics, 2nd Edition James
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Business Analytics, 2nd Edition James

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Subido en
4 de abril de 2024
Número de páginas
420
Escrito en
2025/2026
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TEST BANK
s
Virginia Commonwealth University




BUSINESS ANALYTICS
SECOND EDITION


James R. Evans
University of Cincinnati




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,The author and publisher of this book have used their best efforts in preparing this book. These efforts include the
development, research, and testing of the theories and programs to determine their effectiveness. The author and
publisher make no warranty of any kind, expressed or implied, with regard to these programs or the documentation
contained in this book. The author and publisher shall not be liable in any event for incidental or consequential
damages in connection with, or arising out of, the furnishing, performance, or use of these programs.


Reproduced by Pearson from electronic files supplied by the author.


Copyright © 2016, 2013 Pearson Education, Inc.
Publishing as Pearson, 75 Arlington Street, Boston, MA 02116.


All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any
form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior written
permission of the publisher. Printed in the United States of America.


ISBN-13: 978-0-13-384680-5
ISBN-10: 0-133-84680-6




www.pearsonhighered.com

, Business Analytics, 2e 1


Business Analytics (Evans)
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.
Answer: B
Diff: 1
Blooms: Remember
Topic: Scope of Business Analytics
LO1: Explain and provide examples of descriptive, predictive, and prescriptive analytics.
LO2: Compare and contrast tools for presenting and organizing data

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
Answer: C
Diff: 1
Blooms: Apply
AACSB: Analytic Skills
Topic: Scope of Business Analytics
LO1: Explain and provide examples of descriptive, predictive, and prescriptive analytics.
LO2: Describe the major tools and criteria for decision making.

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.
D) detects patterns in historical data and extrapolates them forward in time.
Answer: D
Diff: 2
Blooms: Remember
Topic: Scope of Business Analytics
LO1: Explain and provide examples of descriptive, predictive, and prescriptive analytics.
LO2: Compare and contrast tools for presenting and organizing data




Copyright © 2016 Pearson Education, Inc.

, 2 Chapter 1: Business 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
Answer: A
Diff: 1
Blooms: Apply
AACSB: Analytic Skills
Topic: Scope of Business Analytics
LO1: Explain and provide examples of descriptive, predictive, and prescriptive analytics.
LO2: Describe the major tools and criteria for decision making.

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%?
Answer: B
Diff: 2
Blooms: Understand
AACSB: Analytic Skills
Topic: Scope of Business Analytics
LO1: Explain and provide examples of descriptive, predictive, and prescriptive analytics.
LO2: Describe the major tools and criteria for decision making.

6) What is a database?
A) a structured collection of related files and data
B) simply a collection of data
C) a data file holding a single file
D) flat files used to store data
Answer: A
Diff: 1
Blooms: Remember
Topic: Data for Business Analytics
LO1: Explain the difference between a data set and a database.
LO2: Explain how data are acquired and distinguish among different types of data and levels of
measurement




Copyright © 2016 Pearson Education, Inc.
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