Introductory statistics Neil Weiss, Matthew Hassett.

Por:

Weiss, Neil A

Colaborador(es):

Hassett, Matthew J

Detalles de publicación: Reading, Mass. Addison-Wesley Pub. Co. c1987.Edición: 2nd edDescripción: xv, 672, [89] p. ill. 25 cmISBN:

0201095823

Tema(s):

Statistics

Clasificación CDD:

519.5 19

Clasificación LoC:

QA276.12 .W45 1987

Existencias
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	Libro	Biblioteca Encarnación Valdés Colección General bev				519.5 W431i2 (Navegar estantería(Abre debajo))					Disponible			80000000339849

Total de reservas: 0

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KEY MESSAGE: Weiss Introductory Statistics, Eighth Edition, features a thorough presentation of the reasoning behind statistics, balanced with analysis and exploration of real data. This book develops statistical thinking over rote drill and practice. The Nature of Statistics; Organizing Data; Descriptive Measures; Probability Concepts; Discrete Random Variables; The Normal Distribution; The Sampling Distribution of the Sample Menu; Confidence Intervals for One Population Mean; Hypothesis Tests for One Population Mean; Inferences for Two Population Means; Inferences for Population Standard Deviations; Inferences for Population Proportions; Chi-Square Procedures; Descriptive Methods in Regression and Correlation; Inferential Methods in Regression and Correlation; Analysis of Variance (ANOVA) For all readers interested in Introductory Statistics.

Includes index.

Tabla de contenidos provista por Syndetics

Preface
Supplements List
Data Sources
Part I Introduction
Chapter 1 The Nature of Statistics
1.1 Statistics Basics
1.2 Simple Random Sampling
1.3 Other Sampling Designs*
1.4 Experimental Designs*
Part II Descriptive Statistics
Chapter 2 Organizing Data
2.1 Variables and Data
2.2 Grouping Data
2.3 Graphs and Charts
2.4 Distribution Shapes
2.5 Misleading Graphs
Chapter 3 Descriptive Measures
3.1 Measures of Center
3.2 Measures of Variation
3.3 The Five-Number Summary
Boxplots
3.4 Descriptive Measures for Populations
Use of Samples
Part III Probability, Random Variables, and Sampling Distributions
Chapter 4 Probability Concepts
4.1 Probability Basics
4.2 Events
4.3 Some Rules of Probability
4.4 Contingency Tables
Joint and Marginal Probabilities*
4.5 Conditional Probability*
4.6 The Multiplication Rule
Independence*
4.7 Bayes's Rule*
4.8 Counting Rules*
Chapter 5 Discrete Random Variables*
5.1 Discrete Random Variables and Probability Distributions*
5.2 The Mean and Standard Deviation of a Discrete Random Variable*
5.3 The Binomial Distribution*
5.4 The Poisson Distribution*
Chapter 6 The Normal Distribution
6.1 Introducing Normally Distributed Variables
6.2 Areas Under the Standard Normal Curve
6.3 Working with Normally Distributed Variables
6.4 Assessing Normality
Normal Probability Plots
6.5 Normal Approximation to the Binomial Distribution*
Chapter 7 The Sampling Distribution of the Sample Mean
7.1 Sampling Error the Need for Sampling Distributions
7.2 The Mean and Standard Deviation of the Sample Mean
7.3 The Sampling Distribution of the Sample Mean
Part IV Inferential Statistics
Chapter 8 Confidence Intervals for One Population Mean
8.1 Estimating a Population Mean
8.2 Confidence Intervals for One Population Mean When ó is Known
8.3 Margin of Error
8.4 Confidence Intervals for One Population Mean When ó is Unknown
Chapter 9 Hypothesis Tests for One Population Mean
9.1 The Nature of Hypothesis Testing
9.2 Terms, Errors, and Hypotheses
9.3 Hypothesis Tests for One Population Mean When ó is Known
9.4 Type II Error Probabilities Power*
9.5 P-Values
9.6 Hypothesis Tests for One Population Mean When ó is Unknown
9.7 The Wilcoxon Signed-Rank Test*
9.8 Which Procedure Should Be Used?*
Chapter 10 Inferences for Two Population Means
10.1 The Sampling Distribution of the Difference Between Two Sample Means for Independent Samples
10.2 Inferences for Two Population Means, Using Independent Samples: Standard Deviations Assumed Equal
10.3 Inferences for Two Population Means, Using Independent Samples: Standard Deviations Not Assumed Equal
10.4 The MannùWhitney Test*
10.5 Inferences for Two Population Means, Using Paired Samples
10.6 The Paired Wilcoxon Signed-Rank Test*
10.7 Which Procedure Should Be Used?*
Chapter 11 Inferences for Population Standard Deviations*
11.1 Inferences for One Population Standard Deviation*
11.2 Inferences for Two Population Standard Deviations, Using Independent Samples*
Chapter 12 Inferences for Population Proportions
12.1 Confidence Intervals for One Population Proportion
12.2 Hypothesis Tests for One Population Proportion
12.3 Inferences for Two Population Proportions
Chapter 13 Chi-Square Procedures
13.1 The Chi-Square Distribution
13.2 Chi-Square Goodness-of-Fit Test
13.3 Contingency Tables
Association
13.4 Chi-Square Independence Test
Part V Regression, Correlation, and ANOVA
Chapter 14 Descriptive Methods in Regression and Correlation
14.1 Linear Equations With One Independent Variable
14.2 The Regression Equation
14.3 The Coefficient of Determination
14.4 Linear Correlation
Chapter 15 Inferential Methods in Regression and Correlation
15.1 The Regression Model
Analysis of Residuals
15.2 Inferences for the Slope of the Population Regression Line
15.3 Estimation and Prediction
15.4 Inferences in Correlation
15.5 Testing for Normality*
Chapter 16 Analysis of Variance (ANOVA)
16.1 The F-Distribution
16.2 One-Way ANOVA: The Logic
16.3 One-Way ANOVA: The Procedure
16.4 Multiple Comparisons*
16.5 The KruskalùWallis Test*
Part VI Multiple Regression and Model Building
Experimental Design and ANOVA (On The WeissStats CD-ROM)
Module A Multiple Regression Analysis
A.1 The Multiple Linear Regression Model
A.2 Estimation of the Regression Parameters
A.3 Inferences Concerning the Utility of the Regression Model
A.4 Inferences Concerning the Utility of Particular Predictor Variables
A.5 Confidence Intervals for Mean Response Prediction Intervals for Response
A.6 Checking Model Assumptions and Residual Analysis
Module B Model Building in Regression
B.1 Transformations to Remedy Model Violations
B.2 Polynomial Regression Model
B.3 Qualitative Predictor Variables
B.4 Multicollinearity
B.5 Model Selection: Stepwise Regression
B.6 Model Selection: All Subsets Regression
B.7 Pitfalls and Warnings
Module C Design of Experiments and Analysis of Variance
C.1 Factorial Designs
C.2 Two-Way ANOVA: The Logic
C.3 Two-Way ANOVA: The Procedure
C.4 Two-Way ANOVA: Multiple Comparisons
C.5 Randomized Block Designs
C.6 Randomized Block ANOVA: The Logic
C.7 Randomized Block ANOVA: The Procedure
C.8 Randomized Block ANOVA: Multiple Comparisons
C.9 Friedman's Nonparametric Test for the Randomized Block Design*
Appendixes
Appendix A Statistical Tables
I Random numbers
II Areas under the standard normal curve
III Normal scores
IV Values of tá
V Values of Wá
VI Values of Má
VII Values of ÷á2
VIII Values of Fá
IX Critical values for a correlation test for normality
X Values of q0.01
XI Values of q0.05
XII Binomial probabilities
Appendix B Answers to Selected Exercises
Index
Photo Credits
Indexes for Biographical Sketches
Case Studies
indicates an optional section

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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 Skills exercises 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 Technology exercises 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 atwww.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 probabilitiesand 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 Analysis exercises, 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.com or 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 is www.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 Excerpted from Introductory Statistics by Neil A. Weiss All rights reserved by the original copyright owners. Excerpts are provided for display purposes only and may not be reproduced, reprinted or distributed without the written permission of the publisher.

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