Table of Contents
Preface .................................................................................................................................... vi
Teaching Tips ...................................................................................................................................1
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Chapter 1 Defining and Collecting Data............................................................................................... 38
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Chapter 2 Organizing and Visualizing Data ......................................................................................... 44
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Chapter 3 Numerical Descriptive Measures ....................................................................................... 130
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Chapter 4 Basic Probability ................................................................................................................ 169
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Chapter 5 Discrete Probability Distributions ...................................................................................... 177
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Chapter 6 The Normal Distribution and Other Continuous Distributions .......................................... 224
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Chapter 7 Sampling Distributions....................................................................................................... 262
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Chapter 8 Confidence Interval Estimation.......................................................................................... 282
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Chapter 9 Fundamentals of Hypothesis Testing: One-Sample Tests.................................................. 308
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Chapter 10 Two-Sample Tests............................................................................................................. 347
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Chapter 11 Analysis of Variance .......................................................................................................... 423
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Chapter 12 Chi-Square and Nonparametric Tests ................................................................................ 456
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Chapter 13 Simple Linear Regression .................................................................................................. 498
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Chapter 14 Introduction to Multiple Regression .................................................................................. 541
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Chapter 15 Multiple Regression Model Building ................................................................................. 596
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Chapter 16 Time-Series Forecasting..................................................................................................... 646
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Chapter 17 A Roadmap for Analyzing Data ......................................................................................... 691
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Chapter 18 Statistical Applications in Quality Management (Online) ................................................. 789
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Chapter 19 Decision Making (Online).................................................................................................. 823
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Online Sections .................................................................................................................. 861
• levine_smume7_ism_ols_01
Instructional Tips and Solutions for Digital Cases............................................................. 896
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The Brynne Packaging Case .............................................................................................. 931
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The CardioGood Fitness Case ........................................................................................... 933
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The Choice Is Yours/More Descriptive Choices Follow-up Case .................................... 1057
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The Clear Mountain State Student Surveys Case ............................................................. 1145
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The Craybill Instrumentation Company Case.................................................................. 1338
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The Managing Ashland MultiComm Services Case ......................................................... 1340
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The Mountain States Potato Company Case .................................................................... 1394
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The Sure Value Convenience Stores Case........................................................................ 1402
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Preface
The first part of the Instructor’s Solutions Manual contains our educational philosophy and teaching tips
for each chapter of the text. Solutions to End-of-Section Problems and Chapter Review Problems in each
chapter follow. Instructional tips and solutions for the digital cases follow. Answers to the Brynne
Packaging Case, the CardioGood Fitness Case, the Choice Is Yours/More Descriptive Choices Follow-up
Case, the Clear Mountain State Student Surveys Case, the Craybill Instrumentation Company Case, the
Managing Ashland MultiComm Services Case, the Mountain States Potato Company Case and the Sure
Value Convenience Stores Case are included last.
The purpose of this Instructor’s Solutions Manual is to facilitate grading of assignments or exams by
instructors and/or teaching assistants. Screen shots using output from PHStat are integrated throughout.
Most of the problems are solved using PHStat. To present the steps involved in solving a problem, some
intermediate numerical results are presented accurate to only a reasonable number of significant digits.
Hence, instructors are reminded that the final results presented in this manual that are obtained using
PHStat can sometimes be different from those obtained with a hand calculator computed using the
intermediate values due to rounding.

Teaching Tips 1
Teaching Tips for
Statistics for Managers using Microsoft® Excel 7th Ed.
Our Starting Point
Over a generation ago, advances in “data processing” led to new business opportunities as first centralized
and then desktop computing proliferated. The Information Age was born. Computer science became
much more than just an adjunct to a mathematics curriculum, and whole new fields of studies, such as
computer information systems, emerged.
More recently, further advances in information technologies have combined with data analysis
techniques to create new opportunities in what is more data science than data processing or computer
science. The world of business statistics has grown larger, bumping into other disciplines. And, in a
reprise of something that occurred a generation ago, new fields of study, this time with names such as
informatics, data analytics, and decision science, have emerged.
This time of change makes what is taught in business statistics and how it is taught all the more
critical. These new fields of study all share statistics as a foundation for further learning. We are
accustomed to thinking about change, as seeking ways to continuously improve the teaching of business
statistics have always guided our efforts. We actively participate in Decision Sciences Institute (DSI),
American Statistical Association (ASA), and Making Statistics More Effective in Schools and Business
(MSMESB) conferences. We use the ASA’s Guidelines for Assessment and Instruction (GAISE) reports
and combine them with our experiences teaching business statistics to a diverse student body at several
large universities.
What to teach and how to teach it are particularly significant questions to ask during a time of change.
As an author team, we bring a unique collection of experiences that we believe helps us find the proper
perspective in balancing the old and the new. Our lead author, David M. Levine, was the first educator,
along with Mark L. Berenson, to create a business statistics textbook that discussed using statistical
software and incorporated “computer output” as illustrations—just the first of many teaching and

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Solution Manual For Statistics for Managers Using Microsoft Excel, 7th Edition

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