ISBN-10:
0201771314
ISBN-13:
9780201771312
Pub. Date:
05/05/2004
Publisher:
Addison Wesley
Introductory Statistics - With CD / Edition 7

Introductory Statistics - With CD / Edition 7

by Neil A. Weiss, Carol A. Weiss

Hardcover

Current price is , Original price is $150.67. You

Temporarily Out of Stock Online

Please check back later for updated availability.

This item is available online through Marketplace sellers.

Overview

With Introductory Statistics, students learn the core statistical concepts in an applied setting, and can access more advanced topics through chapters available on a custom or modular basis. The Fifth Edition is useful and reality-based, employing technological tools such as Minitab Release 12, the TI83 graphing calculator, Excel and the Internet to investigate problems.

Product Details

ISBN-13: 9780201771312
Publisher: Addison Wesley
Publication date: 05/05/2004
Series: Weiss Series
Edition description: Older Edition
Pages: 960
Product dimensions: 8.70(w) x 10.30(h) x 1.52(d)

About the Author

About the Author

Neil A. Weiss received his Ph.D. from UCLA in 1970 and subsequently accepted an Assistant-Professor position at Arizona State University, where he was ultimately promoted to therank of Full Professor. Dr. Weiss has taught statistics, probability, andmathematics-from the freshman level to the advanced graduate level-for morethan 30 years. In recognition of his excellence in teaching, Dr. Weiss received the Dean's Quality Teaching Award from the ASU College of Liberal Arts and Sciences. This comprehensive knowledge andexperience ensures that Weiss's texts are mathematically and statistically accurate as well as pedagogically sound.

In addition to his numerous research publications, Dr. Weiss has authored or co-authored books in finite mathematics, statistics, and real analysis, and is currently working on two new books: one in probability theory and the other in applied regression analysis and analysisof variance. Weiss's texts-well known for their precision, readability, and pedagogical excellence-are used worldwide.

Dr. Weiss is a pioneer of the integration of statistical software into textbooks and the classroom, first providing such integration over 20 years ago in the book Introductory Statistics (Addison-Wesley, 1982). Weiss and Addison-Wesley continue this pioneering spirit to this day with the inclusion of some of the most comprehensive Web sites in the field.

In his spare time, Dr. Weiss enjoys walking, studying and practicing meditation, and playing hold 'em poker. He has two sons.

Read an Excerpt

Introductory Statistics, 7e

Preface

Using and understanding statistics andstatistical procedures have become required skills in virtually everyprofession and academic discipline. The purpose of this book is to helpstudents grasp basic statistical concepts and techniques, and to present real-life opportunities for applying them.

About This Book

The text is intended for a one- or two-semestercourse and for quarter-system courses as well. Instructors can easily fit thetext to the pace and depth they prefer. Introductory high school algebra is asufficient prerequisite. Although mathematically and statistically sound, theapproach doesn't require students to examine complex concepts such asprobability theory and random variables. Students need only understand basicideas such as percentages and histograms.

Advances in technology and newinsights into the practice of teaching statistics have inspired many of thepedagogical strategies used in the Seventh Edition of IntroductoryStatistics,leading to more emphasis on conceptual understanding and less emphasis oncomputation.

Highlights of the Approach

ASA/MAA-GuidelinesCompliant. We followASA/MAA guidelines to stress the interpretation of statistical results, thecontemporary applications of statistics, and the importance of criticalthinking.

Unique Variable-Centered Approach. By consistent and proper use of theterms variable and population, we unified and clarified the various statistical concepts.

Data Analysis and Exploration. We incorporate an extensive amount ofdata analysis and exploration in the text and exercises. Recognizing that notall readers have access to technology, we provide ample opportunity to analyzeand explore data without the use of a computer or statistical calculator.

Detailed and Careful Explanations. We include every step of explanationthat a typical reader might need. Our guiding principle is to avoid cognitivejumps, making the learning process smooth and enjoyable. We believe thatdetailed and careful explanations result in better understanding.

Emphasis on Application. Weconcentrate on the application of statistical techniques to the analysis ofdata. Although statistical theory has been kept to a minimum, we provide athorough explanation of the rationale for the use of each statisticalprocedure.

Parallel Critical-Value/P-Value Approaches. Through aparallel presentation, the book offers complete flexibility in the coverage ofthe critical-value and P-valueapproaches to hypothesis testing-either one or both approaches can be exploredand compared.

ParallelPresentations of Technology.The book offers complete flexibility in the coverage of technology,which includes options for use of Minitab, Excel, and the TI-83/84 Plus. One or more technologies can beexplored and compared.

New and Hallmark Features

Chapter-Opening Features. Included at the beginning of eachchapter is a general description of the chapter, an explanation of how thechapter relates to the text as a whole, and an outline that lists the sectionsin the chapter. Each chapter opens with a classic or contemporary case studythat highlights the real-world relevance of the material. (Case studies arereviewed and discussed at the end of the chapter.) More than one-third of thecase studies are new or updated.

Real-World Examples.Every concept discussed in the text is illustrated by at least onedetailed example. The examples are based on real-life situations and werechosen for their interest level as well as for their illustrative value.

Interpretation Boxes. This feature presents the meaning and significance of statisticalresults in everyday language. Instead of just obtaining the answers or results,students are shown the importance of interpretation.

What Does It Mean?.This feature, found in the margin at appropriate places, states in"plain English" the meaning of definitions, formulas, and key facts. It is alsoused to summarize various expository discussions.

Data Sets. In most examples and many exercises, we present both raw data and summarystatistics. This practice gives a more realistic view of statistics andprovides an opportunity for students to solve problems by computer orstatistical calculator, if so desired. Hundreds of data sets are included, manyof which are new or updated. All data sets, including large ones, are availablein multiple formats on the WeissStats CD.

Procedure Boxes: Why, When, and How. To help students learnstatistical procedures, we developed easy-to-follow, step-by-step methods forcarrying them out. Each step is highlighted and presented again within theillustrating example. This approach shows how the procedure is applied andhelps students master its steps.

The procedure boxes havebeen reformatted to include the "why, when, and how" of the methods. Usually, aprocedure has a brief identifying title followed by a statement of its purpose(why it's used), the assumptions for its use (when it's used), and the stepsfor applying the procedure (how it's used). The procedures have been combinedinto a new, single split format for ease of use and comparison.

The Technology Center.The in-text coverage of statistical technology includes three of themost popular applications: Minitab, Excel, and the TI-83/84 Plus graphingcalculators. We provide instructions and output for the most recent versions ofthese applications, including Release 14 of Minitab. The Technology Centers areintegrated as optional material.

Computer Simulations. Computer simulations appear in both the text and theexercises. The simulations serve as pedagogical aids for understanding complexconcepts such as sampling distributions.

Exercises. Over 1700 exercises provide current,real-world applications and were constructed from an extensive variety ofarticles in newspapers, magazines, statistical abstracts, journals, and Websites; sources are explicitly cited. The exercises help students learn thematerial and, moreover, show that statistics is a lively and relevant discipline.We updated exercises wherever appropriate and have provided many new ones.Exercises related to optional materials are marked with asterisks unless theentire section is optional.

Most section exercise sets are divided intothree categories. Statistical Concepts and Skillsexercises help students master the skills and concepts explicitly discussed inthe section.

Extending the Concepts and Skills exercises invite students to extend their skills byexamining material not necessarily covered in the text. Exercises thatintroduce new concepts are highlighted in blue.

Using Technologyexercises provide students with an opportunity to apply and interpret thecomputing and statistical capabilities of Minitab, Excel, the TI-83/84 Plus,SPSS, or any other statistical technology.

End-of-Chapter Features:

Chapter Reviews. Each chapter review includes chapterobjectives, a list of Key Terms with page references, and a Review Test to help students reviewand study the chapter. Items related to optional materials are marked withasterisks unless the entire chapter is optional.

Award-Winning Internet Projects. Each chapter includes an InternetProject to engage students in active and collaborative learning throughsimulations, demonstrations, and other activities, and guide them throughapplications by using Internet links to access data and other informationprovided by the vast resources of the World Wide Web. The Internet Projects are featured on the Weiss Web site at www.aw-bc.com/weiss.

Focusing on Data Analysis. A brand new database has been constructed for the Focusing on Data Analysis feature, which appears in every chapter. Students can conduct various statistical analyses on these data sets, using the technologyof their choice. This feature gives students an opportunity to work with largedata sets, to practice using technology, and to discover the many methods ofexploring and analyzing data.

The Focus Database contains information on 13variables for the undergraduate students attending the University of Wisconsin- Eau Claire (UWEC).

Statistical analyses can be performed for the entire population of UWEC students for topicsthat require population data.

The database can be sampled to perform statistical analyses that require sampledata (e.g., inference).

The database lends itself to interesting and informative class projects, asillustrated in the Chapters 8 and 9 Focusing on Data Analysis sections.

The Focus Database is included on the WeissStats CD.

Case Study Discussion. At the end of the chapter, thechapter-opening case study is reviewed and discussed in light of the chapter'smajor points, and then problems are presented for students to solve.

StatExplore in MyMathLab. StatExplore is online statistical software available through the Weiss MyMathLab Course. At the end of each chapter of the book, we illustratethe use of StatExplore to perform a statistical analysis discussed in thechapter. For best results, students should implement the steps we present andthereby obtain the StatExplore output for themselves. Exercises encouragestudents to further apply StatExplore to other statistical analyses examined inthe chapter.

Biographical Sketches.Each chapter ends with a brief biography of a famous statistician.Besides being of general interest, these biographies help students obtain aperspective on the development of the science of statistics.

Procedure Index.Because of the numerous statistical procedures available, finding aspecific one is sometimes difficult. Consequently, we include a ProcedureIndex (located inside the back cover of the book), which provides a quick and easyway to find the right procedure for performing any particular statisticalanalysis.

WeissStats CD.This PC and Macintosh compatible CD, included with every new copy of thebook, contains a wealth of resources. Among them are the following: Threemodular chapters that provide optional extended coverage of regressionanalysis, experimental design, and ANOVA..

Data Desk/XL (DDXL) software, an Excel add-in from Data Description, Inc., thatenhances Excel's standard statistics and graphics capabilities.

Adobe Acrobat Reader software for reading the optional modular chapters.

Formula/Table Card.A detachable formula/table card (FTC) is provided with the book. This cardcontains all the formulas and many of the tables that appear in the text. TheFTC is helpful for quick-reference purposes; many instructors also find itconvenient for use with examinations.

Flexible Syllabus

The text offers a great deal of flexibility inchoosing material to cover. The flowchart on page 000 indicateschapter-coverage flexibility. Here are some additional noteworthy items.

Option for Brief Sampling Coverage. New to this edition, the onlysampling design required for study is simple random sampling, which ispresented in Section 1.3. Further sampling designs (systematic random sampling, stratifiedsampling, cluster sampling, and multistage sampling) are available in Section1.4 for coverage at the instructor's discretion.

Option for Brief Experimental Design Coverage. New to this edition,coverage of experimental designs (which appears in Section 1.5) is optional.Introduction to the principles of experimental design, the terminology ofexperimental design, and basic statistical designs can be covered at theinstructor's discretion.

Option for Brief Probability Coverage. Only a rudimentary coverage ofprobability is required, mostly for the frequentist interpretation ofprobability and for standard statistical terminology such as Type I and Type IIerror probabilities and P-values. More probability, including probability theory andrandom variables, can be covered at the discretion of the instructor. Theprobability concepts required for statistical inference can now be covered intwo or three class periods. The option for brief probability coverage iseffected by omitting sections marked as optional (with an asterisk) in Chapters4 and 5, as identified in the table of contents and in the chapter outlines forthose two chapters.

Option for Early Regression Coverage. The chapter discussing descriptivemethods in regression and correlation (Chapter 14) is written so that it can becovered at any time after Chapter 3.

Option for Further Regression and ANOVA. Three chapters that contain additionalmaterial on regression analysis and analysis of variance are available forcustomizing your course. These chapters, written by Professor Dennis Young ofArizona State University, are provided on the WeissStats CD, and are asfollows:

Module A: Multiple Regression Analysis

Module B: Model Building in Regression

Module C: Design of Experiments and Analysis of Variance

Organization

As mentioned, the text offers a great deal of flexibility in choosing material to cover. Following is a brief chapter-by-chaptersummary.

Chapter 1 presents the nature of statistics, sampling designs, and an introduction toexperimental designs. The material in Section 1.4 (Other Sampling Designs) isnow optional, as is the material on experimental designs in Section 1.5. Theoptional chapter Design of Experiments and Analysis of Variance (Module C), on theWeissStats CD, provides a more comprehensive treatment of experimental designs.

Chapters 2 and 3 present the fundamentals of descriptive statistics. Quartiles aredefined intuitively and are consistent with the definition of hinges used inboxplots.

Chapters 4 and 5 examine probability and discrete random variables. Only the first threesections of Chapter 4 are prerequisite to coverage of inferential statistics;the remaining five sections of Chapter 4 and all four sections of Chapter 5 areoptional.

Chapter 6 provides a concise discussion of the normal distribution, including anoptional section on the normal approximation to the binomial distribution.

Chapter 7 introduces the concept of sampling distributions and presents an improved andsimplified introduction to the sampling distribution of the sample mean.

Chapters 8 and 9 give an easily accessible introduction to confidence intervals andhypothesis tests for one population mean by using the terminology of variablesand avoiding formal probability. Both chapters employ the -known versus -unknown criterion fordeciding which parametric procedure to use; this approach makes confidenceintervals and hypothesis tests easier to understand and apply, and provides amethod consistent with most statistical software, including Minitab, Excel(DDXL), and the TI-83/84 Plus. Chapter 9 also presents an optional section on theone-sample Wilcoxon signed-rank test. We consider Chapters 1-9 the core of anintroductory statistics course.

Chapter 10 examines inferences for two population means. It contains a detaileddiscussion of the meaning of independent samples, including graphics for quickassimilation. The two-sample z-procedures are covered in the exercises so thatthe presentation can focus on the more practical two-sample t-procedures. Included inChapter 10 are separate optional sections devoted to the Mann-Whitney test andthe Wilcoxon signed-rank test for paired samples.

Chapter 11, which is optional, presents material on inferences for one and twopopulation standard deviations (or variances).

Chapter 12 examines inferences for one and two population proportions, and containsdiscussions of margin of error and sample-size determination.

Chapter 13 introduces the chi-square goodness-of-fit test and the chi-squareindependence test. Included is a section on grouping bivariate data intocontingency tables and an easy-to-understand presentation of the concept ofassociation.

Chapter14 gives an informal, but precise, treatment of regression and correlation,relying on intuitive and graphical presentation of important concepts. Theplacement is flexible-this chapter can be covered any time after Chapter 3.

Chapter 15 examines inferential methods in regression and correlation. Multipleregression and model building are covered in optional chapters on both theWeissStats CD and Weiss Web site: Multiple Regression Analysis (Module A)and Model Building in Regression (Module B). These optional chaptersinclude topics such as transformations, polynomial models, qualitativepredictors, and model selection.

Chapter 16 introduces analysis of variance with sections on one-way ANOVA, multiplecomparisons, and the Kruskal-Wallis test. Other types of ANOVA, includingtwo-way ANOVA and randomized block design, are discussed in the optionalchapter Design of Experiments and Analysis of Variance (Module C) on the WeissStatsCD.

The following flowchart summarizes the preceding discussion and shows the interdependence amongchapters. In the flowchart, the prerequisites for a given chapter consist ofall chapters that have a path that leads to that chapter. Optional sections andchapters can be identified by consulting the table of contents.

Supplements and Support

FOR THE INSTRUCTOR

Instructor's Edition (0-321-24138-X). This version of the text includes answers to allbasic exercises presented in the book.

Instructor's Solutions Manual (0-321-24139-8). This supplement contains detailed,worked-out solutions to all section exercises, review-test problems, Focusingon Data Analysisexercises, and case studies in the text..

Printed Test Bank (0-321-24140-1). This supplement providesthree printed examinations for each chapter of the text.

TestGen-EQ with QuizMaster-EQ (0-321-24618-7).

TestGen enables instructors to build, edit,print, and administer tests using a computerized bank of questions developed tocover all the objectives of the text. TestGen is algorithmically based,allowing instructors to create multiple but equivalent versions of the samequestion or test with the click of a button. Instructors can also modify testbank questions or add new questions by using the built-in question editor,which allows users to create graphs, import graphics, and insert math notation,variable numbers, or text. Tests can be printed or administered online via theInternet or another network. TestGen comes packaged with QuizMaster, whichallows students to take tests on a local area network. The software isavailable on a dual-platform Windows/Macintosh CD-ROM

MyMathLab for Statistics.

MyMathLab is a series of text-specific, easily customizableonline courses for Addison-Wesley textbooks in mathematics and statistics, andfor this book in particular. MyMathLab is powered by CourseCompass -Pearson Education's online teaching and learningenvironment-and by MathXL -our online homework, tutorial,and assessment system. MyMathLab gives you the tools you need to deliver all ora portion of your statistics course online, whether your students are in a labsetting or working from home. MyMathLab provides a rich and flexible set ofcourse materials, featuring free-response exercises that are algorithmicallygenerated for unlimited practice and mastery. Students can also use onlinetools, such as animations and a multimedia textbook, to independently improvetheir understanding and performance. Instructors can use MyMathLab's homeworkand test managers to select and assign online exercises correlated directly tothe textbook, and you can import TestGen tests into MyMathLab for addedflexibility. MyMathLab's online gradebook-designed specifically for mathematicsand statistics-automatically tracks students' homework and test results andgives the instructor control over how to calculate final grades.

MyMathLab is available to qualified adopters. For more information, visit our website at www.mymathlab.comor contact your Addison-Wesley sales representative for a product demonstration.

StatExplore.

StatExplore is online statistical software that offers an easy-to-use interface and is an alternativeto commercial statistical software. It is customized for this textbook.StatExplore requires a Java-capable Web browser such as Internet Explorer orNetscape Navigator and can be accessed in the student content area of yourWeiss MyMathLab course.

FOR THE STUDENT

The following technology manuals includeinstructions, examples from the main text, and interpretations to complementthose given in the text.

Minitab Manual (0-321-24153-3).

Excel Manual (0-321-24142-8).

TI-83/84 Plus Manual (0-321-24152-5).

SPSS Manual (0-321-24133-9).

JMP Manual (0-321-24137-1)

Student's Solutions Manual (0-321-24141-X). This manual includesdetailed solutions to all odd-numbered section exercises and all review-testproblems in the text.

MathXL for Statistics.

MathXL ® for Statistics is a powerful online homework,tutorial, and assessment system that accompanies this textbook.With MathXL for Statistics, instructors can create, edit, and assign online homeworkand tests using algorithmically generated exercises correlated at the objectivelevel to your textbook. All student work is tracked in MathXL's onlinegradebook. Students can take chapter tests in MathXL and receive personalizedstudy plans based on their test results. The study plan diagnoses weaknessesand links students directly to tutorial exercises for the objectives they needto study and retest. Students can also access supplemental activities directlyfrom selected exercises. MathXL for Statistics is available to qualifiedadopters. For more information, visit our website at www.mathxl.com, orcontact your Addison-Wesley sales representative for a product demonstration.

Weiss Web Site.The Weiss Web site includes, data sets, the formula/table card, andaccess to the Internet projects and Case Study extensions. The URL iswww.aw-bc.com/weiss. For more information, contact your Pearson/Addison-Wesleyrepresentative.

ActivStats (0-201-77139-X). Developed by Paul Velleman and DataDescription, Inc., ActivStats presents a complete introductory statisticscourse on CD-ROM, using a full range of multimedia. Integrating video,simulation, animation, narration, text, interactive experiments, World Wide Webaccess, and Data Desk (a fully functioning statistics package), this productgives students a rich learning environment. Also included are exercises forreinforcement of key concepts, an index, and a glossary. This program is astrong complement to the text for use in both lecture and Web-based courses. ActivStats is PC and Macintoshcompatible. Also available are

ActivStats for Minitab(PC) (0-201-77135-7),

ActivStats for Excel(Mac and PC) (0-201-77141-1),

ActivStats for SPSS(PC) (0-201-77571-9)

ActivStats for JMP(Mac and PC) (0-201-77572-7).

The Student Edition of MINITAB (0-321-11313-6). MINITAB is an easy-to-usegeneral-purpose statistical computing package for analyzing data. It is aflexible and powerful tool that was designed from the beginning to be used bystudents and researchers new to statistics. It is now one of the most widelyused statistics packages in the world.MINITAB performs tedious computations and produces accurate andprofessional quality graphs almost instantly. This power frees the user tofocus on the exploration of the structure of the data and the interpretation ofthe output.

AW Tutor Center.

The Addison-Wesley Math and Statistics Tutor Center is staffed by qualifiedmathematics and statistics instructors who provide students with tutoring onexamples and odd-numbered exercises from the textbook. Tutoring is availablevia toll-free telephone, toll-free fax, e-mail, and the Internet. Interactive,web-based technology allows tutors and students to view and work throughproblems together in real time over the Internet. For more information, pleasevisit our website at www.aw-bc.com/tutorcenter or call us at 1-888-777-0463.

Acknowledgments

First, we want to express our sincereappreciation to all reviewers of previous editions for their many contributionsto the evolution of the book. For this and the previous few editions of thebook, it is our pleasure to thank the following reviewers, whose comments andsuggestions resulted in significant improvements.

James Albert

Bowling Green StateUniversity

Yvonne Brown

Pima Community College

Beth Chance

California Polytechnic StateUniversity

Brant Deppa

Winona State University

Carol DeVille

Louisiana Tech University

Jacqueline Fesq

Raritan Valley CommunityCollege

Richard Gilman

Holy Cross College

Joel Haack

University of Northern Iowa

Susan Herring

Sonoma State University

David Holmes

The College of New Jersey

Satish Iyengar

University of Pittsburgh

Christopher Lacke

Rowan University

Tze-San Lee

Western Illinois University

Ennis Donice McCune

Stephen F. Austin StateUniversity

Jacqueline B. Miller

Drury University

Bernard J. Morzuch

University of Massachusetts,Amherst

Dennis M. O'Brien

University of Wisconsin, LaCrosse

Dwight M. Olson

John Carroll University

JoAnn Paderi

Lourdes College

Melissa Pedone

Valencia Community College

Alan Polansky

Northern Illinois University

Cathy D. Poliak

Northern Illinois University

Kimberley A. Polly

Parkland College

Geetha Ramachandran

California State University

B. Madhu Rao

Bowling Green StateUniversity

Gina F. Reed

Gainesville College

Steven E. Rigdon

Southern Illinois University,Edwardsville

Sharon Ross

Georgia Perimeter College

Edward Rothman

University of Michigan

George W. Schultz

St. Petersburg Jr. College

Arvind Shah

University of South Alabama

Cid Srinivasan

University of Kentucky,Lexington

W. Ed Stephens

McNeese State University

Kathy Taylor

Clackamas Community College

Bill Vaughters

Valencia Community College

Brani Vidakovic

Georgia Institute ofTechnology

Dawn White

California State University,Bakersfield

Marlene Will

Spalding University

Matthew Wood

University of Missouri,Columbia

Table of Contents

1. The Nature of Statistics

2. Organizing Data

3. Descriptive Measures

4. Probability Concepts

5. Discrete Random Variables

6. The Normal Distribution

7. The Sampling Distribution of the Sample Mean

8. Confidence Intervals for One Population Mean

9. Hypothesis Tests for One Population Mean

10. Inferences for Two Population Means

11. Inferences for Population Standard Deviations

12. Inferences for Population Proportions

13. Chi-Square Procedures

14. Descriptive Methods in Regression and Correlation

15. Inferential Methods in Regression and Correlation

16. Analysis of Variance (ANOVA)

Module A: Multiple Regression Analysis (on CD)

Module B: Model Building in Regression (on CD)

Module C: Design of Experiments and Analysis of Variance (on CD)

Preface

Introductory Statistics, 7e

Preface

Using and understanding statistics andstatistical procedures have become required skills in virtually everyprofession and academic discipline. The purpose of this book is to helpstudents grasp basic statistical concepts and techniques, and to present real-life opportunities for applying them.

About This Book

The text is intended for a one- or two-semestercourse and for quarter-system courses as well. Instructors can easily fit thetext to the pace and depth they prefer. Introductory high school algebra is asufficient prerequisite. Although mathematically and statistically sound, theapproach doesn't require students to examine complex concepts such asprobability theory and random variables. Students need only understand basicideas such as percentages and histograms.

Advances in technology and newinsights into the practice of teaching statistics have inspired many of thepedagogical strategies used in the Seventh Edition of IntroductoryStatistics,leading to more emphasis on conceptual understanding and less emphasis oncomputation.

Highlights of the Approach

ASA/MAA-GuidelinesCompliant. We followASA/MAA guidelines to stress the interpretation of statistical results, thecontemporary applications of statistics, and the importance of criticalthinking.

Unique Variable-Centered Approach. By consistent and proper use of theterms variable and population, we unified and clarified the various statistical concepts.

Data Analysis and Exploration. We incorporate an extensive amount ofdata analysis and exploration in the text and exercises.Recognizing that notall readers have access to technology, we provide ample opportunity to analyzeand explore data without the use of a computer or statistical calculator.

Detailed and Careful Explanations. We include every step of explanationthat a typical reader might need. Our guiding principle is to avoid cognitivejumps, making the learning process smooth and enjoyable. We believe thatdetailed and careful explanations result in better understanding.

Emphasis on Application. Weconcentrate on the application of statistical techniques to the analysis ofdata. Although statistical theory has been kept to a minimum, we provide athorough explanation of the rationale for the use of each statisticalprocedure.

Parallel Critical-Value/P-Value Approaches. Through aparallel presentation, the book offers complete flexibility in the coverage ofthe critical-value and P-valueapproaches to hypothesis testing-either one or both approaches can be exploredand compared.

ParallelPresentations of Technology.The book offers complete flexibility in the coverage of technology,which includes options for use of Minitab, Excel, and the TI-83/84 Plus. One or more technologies can beexplored and compared.

New and Hallmark Features

Chapter-Opening Features. Included at the beginning of eachchapter is a general description of the chapter, an explanation of how thechapter relates to the text as a whole, and an outline that lists the sectionsin the chapter. Each chapter opens with a classic or contemporary case studythat highlights the real-world relevance of the material. (Case studies arereviewed and discussed at the end of the chapter.) More than one-third of thecase studies are new or updated.

Real-World Examples.Every concept discussed in the text is illustrated by at least onedetailed example. The examples are based on real-life situations and werechosen for their interest level as well as for their illustrative value.

Interpretation Boxes. This feature presents the meaning and significance of statisticalresults in everyday language. Instead of just obtaining the answers or results,students are shown the importance of interpretation.

What Does It Mean?.This feature, found in the margin at appropriate places, states in"plain English" the meaning of definitions, formulas, and key facts. It is alsoused to summarize various expository discussions.

Data Sets. In most examples and many exercises, we present both raw data and summarystatistics. This practice gives a more realistic view of statistics andprovides an opportunity for students to solve problems by computer orstatistical calculator, if so desired. Hundreds of data sets are included, manyof which are new or updated. All data sets, including large ones, are availablein multiple formats on the WeissStats CD.

Procedure Boxes: Why, When, and How. To help students learnstatistical procedures, we developed easy-to-follow, step-by-step methods forcarrying them out. Each step is highlighted and presented again within theillustrating example. This approach shows how the procedure is applied andhelps students master its steps.

The procedure boxes havebeen reformatted to include the "why, when, and how" of the methods. Usually, aprocedure has a brief identifying title followed by a statement of its purpose(why it's used), the assumptions for its use (when it's used), and the stepsfor applying the procedure (how it's used). The procedures have been combinedinto a new, single split format for ease of use and comparison.

The Technology Center.The in-text coverage of statistical technology includes three of themost popular applications: Minitab, Excel, and the TI-83/84 Plus graphingcalculators. We provide instructions and output for the most recent versions ofthese applications, including Release 14 of Minitab. The Technology Centers areintegrated as optional material.

Computer Simulations. Computer simulations appear in both the text and theexercises. The simulations serve as pedagogical aids for understanding complexconcepts such as sampling distributions.

Exercises. Over 1700 exercises provide current,real-world applications and were constructed from an extensive variety ofarticles in newspapers, magazines, statistical abstracts, journals, and Websites; sources are explicitly cited. The exercises help students learn thematerial and, moreover, show that statistics is a lively and relevant discipline.We updated exercises wherever appropriate and have provided many new ones.Exercises related to optional materials are marked with asterisks unless theentire section is optional.

Most section exercise sets are divided intothree categories. Statistical Concepts and Skillsexercises help students master the skills and concepts explicitly discussed inthe section.

Extending the Concepts and Skills exercises invite students to extend their skills byexamining material not necessarily covered in the text. Exercises thatintroduce new concepts are highlighted in blue.

Using Technologyexercises provide students with an opportunity to apply and interpret thecomputing and statistical capabilities of Minitab, Excel, the TI-83/84 Plus,SPSS, or any other statistical technology.

End-of-Chapter Features:

Chapter Reviews. Each chapter review includes chapterobjectives, a list of Key Terms with page references, and a Review Test to help students reviewand study the chapter. Items related to optional materials are marked withasterisks unless the entire chapter is optional.

Award-Winning Internet Projects. Each chapter includes an InternetProject to engage students in active and collaborative learning throughsimulations, demonstrations, and other activities, and guide them throughapplications by using Internet links to access data and other informationprovided by the vast resources of the World Wide Web. The Internet Projects are featured on the Weiss Web site at www.aw-bc.com/weiss.

Focusing on Data Analysis. A brand new database has been constructed for the Focusing on Data Analysis feature, which appears in every chapter. Students can conduct various statistical analyses on these data sets, using the technologyof their choice. This feature gives students an opportunity to work with largedata sets, to practice using technology, and to discover the many methods ofexploring and analyzing data.

The Focus Database contains information on 13variables for the undergraduate students attending the University of Wisconsin- Eau Claire (UWEC).

Statistical analyses can be performed for the entire population of UWEC students for topicsthat require population data.

The database can be sampled to perform statistical analyses that require sampledata (e.g., inference).

The database lends itself to interesting and informative class projects, asillustrated in the Chapters 8 and 9 Focusing on Data Analysis sections.

The Focus Database is included on the WeissStats CD.

Case Study Discussion. At the end of the chapter, thechapter-opening case study is reviewed and discussed in light of the chapter'smajor points, and then problems are presented for students to solve.

StatExplore in MyMathLab. StatExplore is online statistical software available through the Weiss MyMathLab Course. At the end of each chapter of the book, we illustratethe use of StatExplore to perform a statistical analysis discussed in thechapter. For best results, students should implement the steps we present andthereby obtain the StatExplore output for themselves. Exercises encouragestudents to further apply StatExplore to other statistical analyses examined inthe chapter.

Biographical Sketches.Each chapter ends with a brief biography of a famous statistician.Besides being of general interest, these biographies help students obtain aperspective on the development of the science of statistics.

Procedure Index.Because of the numerous statistical procedures available, finding aspecific one is sometimes difficult. Consequently, we include a ProcedureIndex (located inside the back cover of the book), which provides a quick and easyway to find the right procedure for performing any particular statisticalanalysis.

WeissStats CD.This PC and Macintosh compatible CD, included with every new copy of thebook, contains a wealth of resources. Among them are the following: Threemodular chapters that provide optional extended coverage of regressionanalysis, experimental design, and ANOVA..

Data Desk/XL (DDXL) software, an Excel add-in from Data Description, Inc., thatenhances Excel's standard statistics and graphics capabilities.

Adobe Acrobat Reader software for reading the optional modular chapters.

Formula/Table Card.A detachable formula/table card (FTC) is provided with the book. This cardcontains all the formulas and many of the tables that appear in the text. TheFTC is helpful for quick-reference purposes; many instructors also find itconvenient for use with examinations.

Flexible Syllabus

The text offers a great deal of flexibility inchoosing material to cover. The flowchart on page 000 indicateschapter-coverage flexibility. Here are some additional noteworthy items.

Option for Brief Sampling Coverage. New to this edition, the onlysampling design required for study is simple random sampling, which ispresented in
Section 1.3. Further sampling designs (systematic random sampling, stratifiedsampling, cluster sampling, and multistage sampling) are available in Section1.4 for coverage at the instructor's discretion.

Option for Brief Experimental Design Coverage. New to this edition,coverage of experimental designs (which appears in Section 1.5) is optional.Introduction to the principles of experimental design, the terminology ofexperimental design, and basic statistical designs can be covered at theinstructor's discretion.

Option for Brief Probability Coverage. Only a rudimentary coverage ofprobability is required, mostly for the frequentist interpretation ofprobability and for standard statistical terminology such as Type I and Type IIerror probabilities and P-values. More probability, including probability theory andrandom variables, can be covered at the discretion of the instructor. Theprobability concepts required for statistical inference can now be covered intwo or three class periods. The option for brief probability coverage iseffected by omitting sections marked as optional (with an asterisk) in Chapters4 and 5, as identified in the table of contents and in the chapter outlines forthose two chapters.

Option for Early Regression Coverage. The chapter discussing descriptivemethods in regression and correlation (Chapter 14) is written so that it can becovered at any time after Chapter 3.

Option for Further Regression and ANOVA. Three chapters that contain additionalmaterial on regression analysis and analysis of variance are available forcustomizing your course. These chapters, written by Professor Dennis Young ofArizona State University, are provided on the WeissStats CD, and are asfollows:

Module A: Multiple Regression Analysis

Module B: Model Building in Regression

Module C: Design of Experiments and Analysis of Variance

Organization

As mentioned, the text offers a great deal of flexibility in choosing material to cover. Following is a brief chapter-by-chaptersummary.

Chapter 1 presents the nature of statistics, sampling designs, and an introduction toexperimental designs. The material in Section 1.4 (Other Sampling Designs) isnow optional, as is the material on experimental designs in Section 1.5. Theoptional chapter Design of Experiments and Analysis of Variance (Module C), on theWeissStats CD, provides a more comprehensive treatment of experimental designs.

Chapters 2 and 3 present the fundamentals of descriptive statistics. Quartiles aredefined intuitively and are consistent with the definition of hinges used inboxplots.

Chapters 4 and 5 examine probability and discrete random variables. Only the first threesections of Chapter 4 are prerequisite to coverage of inferential statistics;the remaining five sections of Chapter 4 and all four sections of Chapter 5 areoptional.

Chapter 6 provides a concise discussion of the normal distribution, including anoptional section on the normal approximation to the binomial distribution.

Chapter 7 introduces the concept of sampling distributions and presents an improved andsimplified introduction to the sampling distribution of the sample mean.

Chapters 8 and 9 give an easily accessible introduction to confidence intervals andhypothesis tests for one population mean by using the terminology of variablesand avoiding formal probability. Both chapters employ the -known versus -unknown criterion fordeciding which parametric procedure to use; this approach makes confidenceintervals and hypothesis tests easier to understand and apply, and provides amethod consistent with most statistical software, including Minitab, Excel(DDXL), and the TI-83/84 Plus. Chapter 9 also presents an optional section on theone-sample Wilcoxon signed-rank test. We consider Chapters 1-9 the core of anintroductory statistics course.

Chapter 10 examines inferences for two population means. It contains a detaileddiscussion of the meaning of independent samples, including graphics for quickassimilation. The two-sample z-procedures are covered in the exercises so thatthe presentation can focus on the more practical two-sample t-procedures. Included inChapter 10 are separate optional sections devoted to the Mann-Whitney test andthe Wilcoxon signed-rank test for paired samples.

Chapter 11, which is optional, presents material on inferences for one and twopopulation standard deviations (or variances).

Chapter 12 examines inferences for one and two population proportions, and containsdiscussions of margin of error and sample-size determination.

Chapter 13 introduces the chi-square goodness-of-fit test and the chi-squareindependence test. Included is a section on grouping bivariate data intocontingency tables and an easy-to-understand presentation of the concept ofassociation.

Chapter14 gives an informal, but precise, treatment of regression and correlation,relying on intuitive and graphical presentation of important concepts. Theplacement is flexible-this chapter can be covered any time after Chapter 3.

Chapter 15 examines inferential methods in regression and correlation. Multipleregression and model building are covered in optional chapters on both theWeissStats CD and Weiss Web site: Multiple Regression Analysis (Module A)and Model Building in Regression (Module B). These optional chaptersinclude topics such as transformations, polynomial models, qualitativepredictors, and model selection.

Chapter 16 introduces analysis of variance with sections on one-way ANOVA, multiplecomparisons, and the Kruskal-Wallis test. Other types of ANOVA, includingtwo-way ANOVA and randomized block design, are discussed in the optionalchapter Design of Experiments and Analysis of Variance (Module C) on the WeissStatsCD.

The following flowchart summarizes the preceding discussion and shows the interdependence amongchapters. In the flowchart, the prerequisites for a given chapter consist ofall chapters that have a path that leads to that chapter. Optional sections andchapters can be identified by consulting the table of contents.

Supplements and Support

FOR THE INSTRUCTOR

Instructor's Edition (0-321-24138-X). This version of the text includes answers to allbasic exercises presented in the book.

Instructor's Solutions Manual (0-321-24139-8). This supplement contains detailed,worked-out solutions to all section exercises, review-test problems, Focusingon Data Analysisexercises, and case studies in the text..

Printed Test Bank (0-321-24140-1). This supplement providesthree printed examinations for each chapter of the text.

TestGen-EQ with QuizMaster-EQ (0-321-24618-7).

TestGen enables instructors to build, edit,print, and administer tests using a computerized bank of questions developed tocover all the objectives of the text. TestGen is algorithmically based,allowing instructors to create multiple but equivalent versions of the samequestion or test with the click of a button. Instructors can also modify testbank questions or add new questions by using the built-in question editor,which allows users to create graphs, import graphics, and insert math notation,variable numbers, or text. Tests can be printed or administered online via theInternet or another network. TestGen comes packaged with QuizMaster, whichallows students to take tests on a local area network. The software isavailable on a dual-platform Windows/Macintosh CD-ROM

MyMathLab for Statistics.

MyMathLab is a series of text-specific, easily customizableonline courses for Addison-Wesley textbooks in mathematics and statistics, andfor this book in particular. MyMathLab is powered by CourseCompass -Pearson Education's online teaching and learningenvironment-and by MathXL -our online homework, tutorial,and assessment system. MyMathLab gives you the tools you need to deliver all ora portion of your statistics course online, whether your students are in a labsetting or working from home. MyMathLab provides a rich and flexible set ofcourse materials, featuring free-response exercises that are algorithmicallygenerated for unlimited practice and mastery. Students can also use onlinetools, such as animations and a multimedia textbook, to independently improvetheir understanding and performance. Instructors can use MyMathLab's homeworkand test managers to select and assign online exercises correlated directly tothe textbook, and you can import TestGen tests into MyMathLab for addedflexibility. MyMathLab's online gradebook-designed specifically for mathematicsand statistics-automatically tracks students' homework and test results andgives the instructor control over how to calculate final grades.

MyMathLab is available to qualified adopters. For more information, visit our website at www.mymathlab.comor contact your Addison-Wesley sales representative for a product demonstration.

StatExplore.

StatExplore is online statistical software that offers an easy-to-use interface and is an alternativeto commercial statistical software. It is customized for this textbook.StatExplore requires a Java-capable Web browser such as Internet Explorer orNetscape Navigator and can be accessed in the student content area of yourWeiss MyMathLab course.

FOR THE STUDENT

The following technology manuals includeinstructions, examples from the main text, and interpretations to complementthose given in the text.

Minitab Manual (0-321-24153-3).

Excel Manual (0-321-24142-8).

TI-83/84 Plus Manual (0-321-24152-5).

SPSS Manual (0-321-24133-9).

JMP Manual (0-321-24137-1)

Student's Solutions Manual (0-321-24141-X). This manual includesdetailed solutions to all odd-numbered section exercises and all review-testproblems in the text.

MathXL for Statistics.

MathXL ® for Statistics is a powerful online homework,tutorial, and assessment system that accompanies this textbook.With MathXL for Statistics, instructors can create, edit, and assign online homeworkand tests using algorithmically generated exercises correlated at the objectivelevel to your textbook. All student work is tracked in MathXL's onlinegradebook. Students can take chapter tests in MathXL and receive personalizedstudy plans based on their test results. The study plan diagnoses weaknessesand links students directly to tutorial exercises for the objectives they needto study and retest. Students can also access supplemental activities directlyfrom selected exercises. MathXL for Statistics is available to qualifiedadopters. For more information, visit our website at www.mathxl.com, orcontact your Addison-Wesley sales representative for a product demonstration.

Weiss Web Site.The Weiss Web site includes, data sets, the formula/table card, andaccess to the Internet projects and Case Study extensions. The URL iswww.aw-bc.com/weiss. For more information, contact your Pearson/Addison-Wesleyrepresentative.

ActivStats (0-201-77139-X). Developed by Paul Velleman and DataDescription, Inc., ActivStats presents a complete introductory statisticscourse on CD-ROM, using a full range of multimedia. Integrating video,simulation, animation, narration, text, interactive experiments, World Wide Webaccess, and Data Desk (a fully functioning statistics package), this productgives students a rich learning environment. Also included are exercises forreinforcement of key concepts, an index, and a glossary. This program is astrong complement to the text for use in both lecture and Web-based courses. ActivStats is PC and Macintoshcompatible. Also available are

ActivStats for Minitab(PC) (0-201-77135-7),

ActivStats for Excel(Mac and PC) (0-201-77141-1),

ActivStats for SPSS(PC) (0-201-77571-9)

ActivStats for JMP(Mac and PC) (0-201-77572-7).

The Student Edition of MINITAB (0-321-11313-6). MINITAB is an easy-to-usegeneral-purpose statistical computing package for analyzing data. It is aflexible and powerful tool that was designed from the beginning to be used bystudents and researchers new to statistics. It is now one of the most widelyused statistics packages in the world.MINITAB performs tedious computations and produces accurate andprofessional quality graphs almost instantly. This power frees the user tofocus on the exploration of the structure of the data and the interpretation ofthe output.

AW Tutor Center.

The Addison-Wesley Math and Statistics Tutor Center is staffed by qualifiedmathematics and statistics instructors who provide students with tutoring onexamples and odd-numbered exercises from the textbook. Tutoring is availablevia toll-free telephone, toll-free fax, e-mail, and the Internet. Interactive,web-based technology allows tutors and students to view and work throughproblems together in real time over the Internet. For more information, pleasevisit our website at www.aw-bc.com/tutorcenter or call us at 1-888-777-0463.

Acknowledgments

First, we want to express our sincereappreciation to all reviewers of previous editions for their many contributionsto the evolution of the book. For this and the previous few editions of thebook, it is our pleasure to thank the following reviewers, whose comments andsuggestions resulted in significant improvements.

James Albert

Bowling Green StateUniversity

Yvonne Brown

Pima Community College

Beth Chance

California Polytechnic StateUniversity

Brant Deppa

Winona State University

Carol DeVille

Louisiana Tech University

Jacqueline Fesq

Raritan Valley CommunityCollege

Richard Gilman

Holy Cross College

Joel Haack

University of Northern Iowa

Susan Herring

Sonoma State University

David Holmes

The College of New Jersey

Satish Iyengar

University of Pittsburgh

Christopher Lacke

Rowan University

Tze-San Lee

Western Illinois University

Ennis Donice McCune

Stephen F. Austin StateUniversity

Jacqueline B. Miller

Drury University

Bernard J. Morzuch

University of Massachusetts,Amherst

Dennis M. O'Brien

University of Wisconsin, LaCrosse

Dwight M. Olson

John Carroll University

JoAnn Paderi

Lourdes College

Melissa Pedone

Valencia Community College

Alan Polansky

Northern Illinois University

Cathy D. Poliak

Northern Illinois University

Kimberley A. Polly

Parkland College

Geetha Ramachandran

California State University

B. Madhu Rao

Bowling Green StateUniversity

Gina F. Reed

Gainesville College

Steven E. Rigdon

Southern Illinois University,Edwardsville

Sharon Ross

Georgia Perimeter College

Edward Rothman

University of Michigan

George W. Schultz

St. Petersburg Jr. College

Arvind Shah

University of South Alabama

Cid Srinivasan

University of Kentucky,Lexington

W. Ed Stephens

McNeese State University

Kathy Taylor

Clackamas Community College

Bill Vaughters

Valencia Community College

Brani Vidakovic

Georgia Institute ofTechnology

Dawn White

California State University,Bakersfield

Marlene Will

Spalding University

Matthew Wood

University of Missouri,Columbia

Customer Reviews

Most Helpful Customer Reviews

See All Customer Reviews