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Statistics as a Liberal Discipline
Statistics: Concepts and Controversies (SCC) is a book on statistics as a liberal discipline—
Statistics among the liberal arts
Statistics has a widespread reputation as the least liberal of subjects. When statistics is praised, it is most often for its usefulness. Health professionals need statistics to read accounts of medical research; managers need statistics because efficient crunching of numbers will find its way to the bottom line; citizens need statistics to understand opinion polls and government statistics such as the unemployment rate and the Consumer Price Index. Because data and chance are omnipresent, our propaganda line goes like this: everyone will find statistics useful, and perhaps even profitable.
This is true. We would even argue that for most students, the conceptual and verbal approach in SCC is better preparation for future encounters with statistical studies than the usual methods-
There is, however, another justification for learning about statistical ideas: statistics belongs among the liberal arts. A liberal education emphasizes fundamental intellectual skills—
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SCC is shaped, as far as the limitations of the authors and the intended readers allow, by the view that statistics is an independent and fundamental intellectual method. The focus is on statistical thinking, on what others might call quantitative literacy or numeracy.
The nature of this book
There are books on statistical theory and books on statistical methods. This is neither. It is a book on statistical ideas and statistical reasoning and on their relevance to public policy and to the human sciences from medicine to sociology. We have included many elementary graphical and numerical techniques to give flesh to the ideas and muscle to the reasoning. Students learn to think about data by working with data. We have not, however, allowed technique to dominate concepts. Our intention is to teach verbally rather than algebraically, to invite discussion and even argument rather than mere computation, though some computation remains essential. The coverage is considerably broader than one might traditionally cover in a one-
Despite its informal nature, SCC is a textbook. It is organized for systematic study and has abundant exercises, many of which ask students to offer a discussion or make a judgment. Even those admirable individuals who seek pleasure in uncompelled reading should look at the exercises as well as the text. Teachers should be aware that the book is more serious than its low mathematical level suggests. The emphasis on ideas and reasoning asks more of the reader than many recipe-
New in this edition
We welcome three new contributors to this edition of SCC. Professors Jackie Miller (University of Michigan), Leslie Hendrix (University of South Carolina), and Michelle Everson (The Ohio State University) assisted with Chapters 3, 4, 8, 9, 10, 11, 13, 21, 22, 23, and 24. They bring a fresh perspective to SCC while being sensitive to the fundamental nature of the book.
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This new version of a classic text fits the current teaching environment while continuing to present statistics to “nonmathematical” readers as an aid to clear thinking in personal and professional life. The following new features and enhancements build on SCC ’s strong pedagogical foundation:
•Content
• Several users have encouraged us to emphasize the use of technology for selecting an SRS rather than a table of random digits. Thus, in Chapter 2, we first discuss selecting an SRS using technology. The subsequent discussion of selecting an SRS using a table of random digits is presented as an option for students who do not have access to technology.
• We have added a web exercise to Chapter 7 (Data Ethics) that raises the issue of experiments on animals.
• We have added a section on big data in Chapter 15. We discuss big data in the context of prediction and address the perception that big data, by virtue of being big, is free from pitfalls that plague traditional smaller data.
• We have added an optional section on inference as decision in Chapter 23. This includes a discussion of Type I and II errors. This material appeared in the first edition of SCC but was eliminated in subsequent editions. We restore that discussion here.
• Check the Basics exercises. Each chapter ends with a series of straightforward multiple-
• LaunchPad Online Resources. At the end of each chapter, we provide a list of resources available in LaunchPad that provide additional discussion of topics in the chapter.
• Examples and exercises. More than one-
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• Design. The contemporary design incorporates colorful figure to aid students’ understanding of text material. Sleek marginal notes invite students to explore “Statistics in Your World.” Exploring the Web exercises are labeled with a QR code icon, bringing students directly to the book’s website for updated links and sources.
In addition to the new ninth edition enhancements, SCC has retained the successful pedagogical features from previous editions:
• Applets. An applet icon signals where related, interactive statistical applets can be found on the book’s website.
• Case Studies. Beginning each chapter, Case Studies engage students in real-
• Statistical Controversies. These boxed features explore controversial topics and relate them to the chapter material. There is a follow-
• Chapter summaries. The Statistics in Summary sections at the end of each chapter consist of two sections. One, titled Chapter Specifics, summarizes the material presented in the chapter. The second section, titled Link It, relates the chapter content to material in previous and upcoming chapters. The goal of this format is to help students understand how individual chapters relate to each other and to the overall practice of statistics.
• In the News exercises. From popular news media outlets, these exercises use current events and cite recent data sources.
• Now It’s Your Turn exercises. These appear after a worked example, allowing students to test their understanding. Full solutions to these exercises are provided in the back of the text.
• Exploring the Web exercises. QR codes at the end of each chapter point students to these exercises, located on the book’s website, that direct students to the web to investigate topics and think critically about statistical data and concepts.
• Technology output screenshots. Most statistical analyses rely heavily on statistical software. In this book, we specifically discuss the use of JMP 12 in some parts. Other software for conducting statistical analysis includes CrunchIt!, Minitab, SPSS, and a TI-
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Media and Supplements
LaunchPad, our online course space, combines an interactive e-
Assets integrated into LaunchPad include:
Interactive e-
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LearningCurve provides students and instructors with powerful adaptive quizzing, a game-
JMP Student Edition (developed by SAS) is easy to learn and contains all the capabilities required for introductory statistics. JMP is the leading commercial data analysis software of choice for scientists, engineers, and analysts at companies throughout the world (for Windows and Mac). Register inside LaunchPad at no additional cost.
CrunchIt!® is a Web-
StatBoards Videos are brief whiteboard videos that illustrate difficult topics through additional examples, written and explained by a select group of statistics educators.
Stepped Tutorials are centered on algorithmically-
Statistical Video Series consists of StatClips, StatClips Examples, and Statistically Speaking “Snapshots.” View animated lecture videos, whiteboard lessons, and documentary-
Video Technology Manuals, available for TI-
StatTutor Tutorials offer multimedia tutorials that explore important concepts and procedures in a presentation that combines video, audio, and interactive features. The newly revised format includes built-
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Statistical Applets give students hands-
Stats@Work Simulations put students in the role of the statistical consultant, helping them better understand statistics interactively within the context of real-
EESEE Case Studies (Electronic Encyclopedia of Statistical Examples and Exercises), developed by The Ohio State University Statistics Department, teach students to apply their statistical skills by exploring actual case studies using real data.
SolutionMaster offers an easy-
Data files are available in JMP, ASCII, Excel, TI, Minitab, SPSS (an IBM Company)*, R, and CSV formats.
Lab and Activities Manual by Dennis Pearl, The Ohio State University. This manual provides a variety of projects and exercises to help students develop a fuller appreciation of statistical concepts. It features computer lab and hands-
Instructor’s Guide with Solutions includes teaching suggestions, chapter comments, and detailed solutions to all exercises and is available electronically in LaunchPad.
Test Bank offers hundreds of multiple-
Lecture Slides offer a customizable, detailed lecture presentation of statistical concepts covered in each chapter of SCC. Image Slides contain all textbook figure and tables. Lecture slides and images slides are available in LaunchPad.
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Additional Resources Available with Statistics: Concepts and Controversies, Ninth Edition
Special Software Package A student version of JMP is available for packaging with the printed text. JMP is also available inside LaunchPad at no additional cost.
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Acknowledgments
A very special thank you to Jackie Miller, University of Michigan; Leslie Hendrix, University of South Carolina; and Michelle Everson, The Ohio State University for their invaluable contributions to this edition. Thanks also to Michelle Everson for carefully accuracy checking the book.
Thank you to the instructors who authored and accuracy reviewed supplements for the book: Michelle Duda at Columbus State Community College for authoring solutions and Karen Starin at Columbus State Community College for accuracy reviewing the solutions; Mark A. Gebert at University of Kentucky–
The staff of W. H. Freeman, especially Karen Carson, Jorge Amaral, Catriona Kaplan, Victoria Garvey, Blake Logan, and Susan Wein, have done their usual excellent job in editing, designing, and producing the book. Special thanks also to Edward Dionne.
We are grateful to the many colleagues who commented on successive drafts of the manuscript for this edition (listed below). We are also grateful to those who reviewed previous editions (a full list is available at www.macmillanlearning.com/
Shemsi Alhaddad, University of South Carolina–
Hamid Attarzadeh, Jefferson Community and Technical College
Paul L. Baker, Catawba College
Ron Bianchi, Vanier College
Curtis Allen Brown, Capella University
Lisa Carnell, High Point University
Joël Casséus, Vanier College
Jaya Casukhela, The Ohio State University
Bruce Corrigan-
Ayesha Delpish, Elon University
Jimmy Doi, California Polytechnic State University–
Michelle Duda, Columbus State Community College
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Steve Paul Dusseau, Indiana Institute of Technology
Mark A. Gebert, University of Kentucky–
Pamela Gorkin, Bucknell University
Burke Grandjean, University of Wyoming
Ellen Gundlach, Purdue University
Brian Habing, University of South Carolina
Leslie Hendrix, University of South Carolina
Dawn Holmes, University of California–
Agnes Kiss, University of St. Thomas
Palmer Kocher, State University of New York at New Paltz
Stephen Koffler, The College of New Jersey
André Michelle Lubecke, Lander University
Hamdy Fayez Farhat Mahmoud, Virginia Polytechnic Institute and State University
Rose Martinez-
Kendra Brown Mhoon, University of Houston–
Jackie Bryce Miller, University of Michigan
Jodie A. Miller, John Tyler Community College
Heather Mollé, Lakeland College
Perpetua Lynne Nielsen, Brigham Young University
Carl M. Penziul, Ithaca College
Sarah Quesen, West Virginia University
James Roberts, Dawson College
Soma Roy, California Polytechnic State University–
R.P. Russo, University of Iowa
Erl Sorensen, Bentley University
Caleb Southworth, University of Oregon
Karen Starin, Columbus State Community College
W. Scott Street, IV, Virginia Commonwealth University
Mary Thomas, St. Catherine University
Angelia Turner, North Greenville University
Dennis Wacker, Saint Louis University
John E. Ward, Jefferson Community and Technical College
Hongling Yang, University of Texas at El Paso
Yi Yang, James Madison University
Andrew Zieffler, University of Minnesota
Jill C. Zimmerman, Manchester Community College