Addison-Wesley / Prentice Hall

Statistics

Browse available resources for Statistics:



Statistics: The Art and Science of Learning from Data, 2/E
Alan Agresti
Chris Franklin

ISBN-10: 0135131995
ISBN-13: 9780135131992

Publisher: Prentice Hall
Copyright: 2009
Format: Cloth Bound w/CD-ROM; 848 pp
Published: 12/28/2007

Suggested retail price: $133.33
Buy from myPearsonStore

Alan Agresti and Chris Franklin have merged their research and classroom experience to develop this successful introductory statistics text. Statistics: The Art and Science of Learning from Data, Second Edition helps students become statistically literate by encouraging them to ask and answer interesting statistical questions. It takes the ideas that have turned statistics into a central science in modern life and makes them accessible and engaging to students without compromising necessary rigor.

 

The varied and data-rich examples and exercises place heavy emphasis on thinking about and understanding statistical concepts. The applications are topical and current, and successfully illustrate the relevance of statistics. The authors believe that it is important for students to be comfortable with analyzing both quantitative and categorical data. Every day in the media, students see and hear percentages and rates being used to summarize opinion polls, outcomes of medical studies, and economic reports. As a result, greater attention is paid to the analysis of proportions than is typical of many introductory statistic texts.

 

The text maintains its commitment to the recommendations of the ASA endorsed GAISE (Guidelines for Assessment for Instruction in Statistical Education) Report.

  • Examples emphasize thinking about and understanding statistics through analysis of current real-world data. The unique five-step format encourages students to model the thought processes required to examine issues in statistics.
    1. Picture the Scenario presents background information so that students can picture the context of the data.
    2. Questions to Explore show students the appropriate questions to ask about the scenario and focus on what students should learn from the example.
    3. Think It Through is the heart of each example, as the Questions to Explore are investigated and answered using the appropriate statistical methods.
    4. Insight clarifies the central ideas investigated in the example and places them in a broader context that states the conclusions in less technical terms. This step also connects concepts from other sections in the book.
    5. To Practice This Concept, try…: Following each example, students are directed to an end-of-section exercise that allows immediate practice of the concept.
  • More than 100 exercises per chapter motivate and test student comprehension through interesting real-data problems. Exercises address relevant and through-provoking topics, such as cell phone usage and cancer, and public support for the death penalty.

    Exercises are divided into three categories to challenge students on different levels:
    • Practicing the Basics reinforce basic applications of methods.
    • Concepts and Investigations require students to explore the theory and concepts presented in the chapter through real data sets.
    • Student Activities are appropriate for individual or group work and often make use of the applets that accompany the text.
  • Examples and exercises reflect the data that students see in the popular press–opinion polls, medical studies, sports data, and economic reports, for example–that are summarized using percentages and rates. To help students make sense of these data, greater emphasis is placed on proportions at various points in the text.
    • Contingency tables are introduced early (Chapter 3) to illustrate the concept of association between two categorical variables and to show the potential influence of a lurking variable.
    • Sampling distributions and inference methods are introduced first using proportions for a binary outcome and then means for quantitative data are examined.
  • Active Learning is encouraged through the use of simulations and hands-on activities. Activities and exercises that direct students to the applets, the web, and other resources are built into the book and are on the CD. While most activities are optional, the use of the Sampling Distributions Applet now plays a central role in introducing that challenging concept (Chapter 7). Additional suggestions for activities may be found in the Instructor’s “blue pages.”
  • Modern technological techniques develop concepts and analyze data. Output from computer software (such as Minitab®, SPSS®, Microsoft Excel®) and the TI-83/84 Plus graphing calculator are used to illustrate many concepts.
  • Helpful text features offer at-a-glance information to aid students in comprehending material in the main text.
    • In Words summarizes complicated symbolic notation and formal definitions in a non-technical, less formal way to help students understand “what it really means.”
    • In Practice boxes alert students to the way statisticians actually analyze data in practice.
    • Recall directs students back to previous presentations in the text to review definitions/formulas and to reinforce key concepts in context.
  • Annotated figures feature labels to identify noteworthy aspects in each illustration that may not be obvious to inexperienced students. 

  • A new chapter devoted exclusively to Sampling Distributions (Chapter 7) separates this material from Probability Distributions (Chapter 6) to provide a more focused and better paced introduction. The use of the sampling distribution applet motivates the discussion and provides a compelling visual introduction to this challenging concept.
  • 30% new or updated exercises ensure students have ample opportunity to practice techniques and apply their knowledge. Updated, current data comes from a variety of sources, including the 2006 General Social Survey.
  • A New Part organization divides the book into four Parts. Each Part concludes with a substantive Part Review to help students understand the “big picture” and solve exercises that review the key concepts, ideas, and techniques.  Included are Summary Questions that conclude each Part; Summary Examples that continue the example-driven presentation of this text; and comprehensive Part Exercises.
  • Refined and expanded applets provide students with greater opportunity and more flexibility to conduct simulations that will help them visualize and understand key concepts.
  • Every new copy of the Student Edition comes with a CD-ROM that contains data sets, additional activities, and applets, which have been expanded and enhanced for this edition.
  • The CD-ROM included with the Instructor’s Edition contains Instructor-to-Instructor videos for every chapter that detail the authors’ approach to concepts and their suggestions for presentation. These videos compliment the Instructors Edition’s chapter introductions - the “blue pages.”

PART 1: GATHERING and EXPLORING DATA

 

1. Statistics: The Art and Science of Learning from Data

1.1 How Can You Investigate Using Data?

1.2 We Learn about Population Using Samples

1.3 What Role do Computers Play in Statistics?

            Chapter Summary

            Chapter Exercises

 

2. Exploring Data with Graphs and Numerical Summaries

2.1 What Are the Types of Data?

2.2 How Can We Describe Data using Graphical Summaries?

2.3 How Can We Describe the Center of Quantitative Data?

2.4 How Can We Describe the Spread of Quantitative Data?

2.5 How Can Measures of Position Describe Spread?

2.6 How Can Graphical Summaries Be Misused?

            Answers to Chapter Figure Questions

            Chapter Summary

            Chapter Exercises

 

3. Association: Contingency, Correlation, and Regression

3.1 How Can We Explore the Association between Two Categorical Variables?

3.2 How Can We Explore the Association between Two Quantitative Variables?

3.3 How Can We Predict the Outcome of a Variable?

3.4 What are Some Cautions in Analyzing Associations?

            Answers to Chapter Figure Questions

            Chapter Summary

            Chapter Exercises

 

4. Gathering Data

4.1 Should We Experiment or Should We Merely Observe?

4.2 What Are Good Ways and Poor Ways to Sample?

4.3 What Are Good Ways and Poor Ways to Experiment?

4.4 What Are Other Ways to Perform Experimental and Nonexperimental Studies?

            Answers to Chapter Figure Questions

            Chapter Summary

            Chapter Exercises

 

            PART 1 REVIEW

            Part 1 Summary

            Part 1 Exercises

 

PART 2: PROBABILITY AND PROBABILITY DISTRIBUTIONS

 

5. Probability in our Daily Lives

5.1 How Can Probability Quantify Randomness?

5.2 How Can We Find Probabilities?

5.3 Conditional Probability: What’s the Probability of A, Given B?

5.4 Applying the Probability Rules

            Answers to Chapter Figure Questions

            Chapter Summary

            Chapter Exercises

 

6. Probability Distributions

6.1 How Can We Summarize Possible Outcomes and Their Probabilities?

6.2 How Can We Find Probabilities for Bell-Shaped Distributions?

6.3 How Can We Find Probabilities when Each Observation has Two Possible Outcomes?

            Answers to Chapter Figure Questions

            Chapter Summary

            Chapter Exercises

 

7. Sampling Distributions

7.1 How Likely Are the Possible Values of a Statistics? The Sampling Distribution

7.2 How Close Are Sample Means to Population Means?

7.3 How Can We Make Inferences about a Population?

            Answers to Chapter Figure Questions

            Chapter Summary

            Chapter Exercises

 

            PART 2 REVIEW

            Part 2 Summary

            Part 2 Exercises

 

PART 3: INFERENCE STATISTICS

 

8. Statistical Inference: Confidence Intervals

8.1 What Are Point and Interval Estimates of Population Parameters?

8.2 How Can We Construct a Confidence Interval to Estimate a Population Proportion?

8.3 How Can We Construct a Confidence Interval to Estimate a Population Mean?

8.4 How Do We Choose the Sample Size for a Study?

8.5 How Do Computers Make New Estimation Methods Possible?

            Answers to Chapter Figure Questions

            Chapter Summary

            Chapter Exercises

 

9. Statistical Inference: Significance Tests about Hypotheses

9.1 What Are the Steps for Performing a Significance Test?

9.2 Significance Tests about Proportions

9.3 Significance Tests about Means

9.4 Decisions and Types of Errors in Significance Tests

9.5 Limitations of Significance Tests

9.6 How Likely is a Type II Error (Not Rejecting H0, Even though it’s False)?

            Answers to Chapter Figure Questions

            Chapter Summary

            Chapter Exercises

 

10. Comparing Two Groups

10.1 Categorical Response: How Can We Compare Two Proportions?

10.2 Quantitative Response: How Can We Compare Two Means?

10.3 Other Ways of Comparing Means and Comparing Proportions

10.4 How Can We Analyze Dependent Samples?

10.5 How Can We Adjust for Effects of Other Variables?

            Answers to Chapter Figure Questions

            Chapter Summary

            Chapter Exercises

 

            PART 3 REVIEW

            Part 3 Summary

            Part 3 Exercises

 

PART 4: ANALYZING ASSOCIATIONS AND EXTENDED STATISTICAL METHODS

 

11. Analyzing the Association Between Categorical Variables

11.1 What is Independence and What is Association?

11.2 How Can We Test Whether Categorical Variables are Independent?

11.3 How Strong is the Association?

11.4 How Can Residuals Reveal the Pattern of Association?

11.5 What if the Sample Size is Small? Fisher’s Exact Test

            Answers to Chapter Figure Questions

            Chapter Summary

            Chapter Exercises

 

12. Analyzing the Association Between Quantitative Variables: Regression Analysis

12.1 How Can We “Model” How Two Variables Are Related?

12.2 How Can We Describe Strength of Association?

12.3 How Can We Make Inferences about the Association?

12.4 What Do We Learn from How the Data Vary around the Regression Line?

12.5 Exponential Regression: A Model for Nonlinearity

            Answers to Chapter Figure Questions

            Chapter Summary

            Chapter Exercises

 

13. Multiple Regression

13.1 How Can We Use Several Variables to Predict a Response?

13.2 Extending the Correlation and R-squared for Multiple Regression

13.3 How Can We Use Multiple Regression to Make Inferences?

13.4 Checking a Regression Model Using Residual Plots

13.5 How Can Regression Include Categorical Predictors?

13.6 How Can We Model a Categorical Response?

            Answers to Chapter Figure Questions

            Chapter Summary

            Chapter Exercises

 

14. Comparing Groups: Analysis of Variance Methods

14.1 How Can We Compare Several Means?: One-Way ANOVA

14.2 How Should We Follow Up an ANOVA F Test

14.3 What if there are Two Factors?: Two-way ANOVA

            Answers to Chapter Figure Questions

            Chapter Summary

            Chapter Exercises

 

15. Nonparametric Statistics

15.1 How Can We Compare Two Groups by Ranking?

15.2 Nonparametric Methods for Several Groups and for Matched Pairs

            Answers to Chapter Figure Questions

            Chapter Summary

            Chapter Exercises

 

            PART 4 REVIEW

            Part 4 Summary

            Part 4 Exercises

 

Tables

Selected Answers

Index

Index of Applications     

Photo Credits

    For algebra-based Introductory Statistics Courses.

     

    The overarching goal of this text is to empower students to be statistical thinkers

     

    Alan Agresti and Chris Franklin have merged their research expertise, as well as their extensive real-world and teaching experience, to develop a new introductory statistics text that makes students statistically literate, while encouraging them to ask and answer interesting statistical questions. The authors have successfully crafted a text that takes the ideas that have turned statistics into a central science in modern life and makes them accessible and engaging to students without compromising necessary rigor.

     

    The varied and data-rich examples and exercises place heavy emphasis on thinking about and understanding statistical concepts.  The applications are topical and current and successfully illustrate the relevance of statistics.

     

    The authors understand that most of the real-world data that students encounter outside the class room are categorical data.  Unlike many texts at this level, Agresti/Franklin incorporates categorical data where appropriate and draws distinctions between theory and practical application of statistical ideas and methods.

     

    The text was written, from the ground up, to embrace and support the 6 recommendations of the ASA endorsed GAISE (Guidelines for Assessment for Instruction in Statistical Education) Report - http://www.amstat.org/education/gaise/GAISECollege.htm:

    • Emphasize statistical literacy and develop statistical thinking.
    • Use real data.
    • Stress conceptual understanding rather than mere knowledge of procedures.
    • Foster active learning in the classroom.
    • Use technology for developing  concepts and analyzing data.
    • Use assessment to evaluate and improve student learning.

     

    Comes with a CD containing data sets, additional activities, and applets.  The CD with the IE, furthermore, includes Instructor-to-Instructor videos which further detail, by chapter, the authors approach and provides suggestions on how to present concepts. These Instructor-to-Instructor videos are very complimentary to the IE chapter introductions.

  • 0130083690Statistics: The Art and Science of Learning From Data
    Agresti & Franklin
    © 2007 | Prentice Hall | Cloth; 768 pages | Instock
    ISBN-10: 0130083690 | ISBN-13: 9780130083692
    Brief Description

Online Tours

Take an interactive walk through this book!

Alan Agresti is Distinguished Professor in the Department of Statistics at the University of Florida. He has been teaching statistics there for 35 years, including the development of three courses in statistical methods for social science students and three courses in categorical data analysis. He is author of over 100 refereed article and five texts including "Statistical Methods for the Social Sciences" (with Barbara Finlay, Prentice Hall, 4th edition 2009) and "Categorical Data Analysis" (Wiley, 2nd edition 2002). He is a Fellow of the American Statistical Association and recipient of an Honorary Doctor of Science from De Montfort University in the UK. In 2003 Alan was named "Statistician of the Year" by the Chicago chapter of the American Statistical Association and in 2004 he was the first honoree of the Herman Callaert Leadership Award in Biostatistical Education and Dissemination awarded by the University of Limburgs, Belgium. He has held visiting positions at Harvard University, Boston University, London School of Economics, and Imperial College and has taught courses or short courses for universities and companies in about 30 countries worldwide. Alan has also received teaching awards from UF and an excellence in writing award from John Wiley & Sons.

 

Christine Franklin is a Senior Lecturer and Honors Professor in the Department of Statistics at the University of Georgia. She has been a member of college faculty in statistics for almost 30 years. Chris has been actively involved at the national level with promoting statistical education at the K-12 level and college undergraduate level since the 1980's. She is currently the Chief Reader for AP Statistics and has developed three masters level courses at UGA in data analysis for elementary, middle school, and secondary teachers. Chris was the lead writer for the ASA endorsed Guidelines for Assessment and Instruction in Statistics Education (GAISE) Report: A Pre-K-12 Curriculum Framework.

 

Chris has been honored by her selection as a Fellow of the American Statistical Association, the 2006 Mu Sigma Rho National Statistical Education Award recipient for her teaching and lifetime devotion to statistics education, and numerous teaching and advising awards at UGA. Chris has written more than 30 journal articles and resource materials for textbooks.

View a Sample Chapter PDF:

 

ActivStats: Learn More!

 

Interactive Walkthrough

  • Interwrite Personal Response System
    EduCue, Addison-Wesley & Benjamin Cummings
    © 2004 | Benjamin Cummings | Electronic Supplement | Instock
    ISBN-10: 0321267354 | ISBN-13: 9780321267351


  • iClicker Classroom Response System
    iClicker, Addison-Wesley & Benjamin Cummings
    © 2008 | Benjamin Cummings | Electronic Supplement | Instock
    ISBN-10: 032153705X | ISBN-13: 9780321537058


For Introductory Statistics - Algebra-Based


Give your students a choice! PearsonChoices products are designed to give your students more value and flexibility by letting them choose from a variety of text and media formats to best match their learning style and their budget.

Pearson Higher Education offers special pricing when you choose to package your text with other student resources. If you're interested in creating a cost-saving package for your students, see the Packages tab.

This title is a member of the MyStatLab Series, which also contains the titles below . You can also visit the MyStatLab Series page.

    Elementary Statistics, Seventh Edition, features a thorough presentation of the reasoning behind statistics, balanced with analysis and exploration of real data.  This text emphasizes the development of statistical thinking rather than rote drill and practice. 

     

    This new edition continues the author’s tradition of cutting-edge statistical pedagogy and seamless integration of technology, and includes hundreds of new exercises with carefully cited data from journals, magazines, newspapers, and Web sites.

     

    Elementary Statistics, Seventh Edition, is the ideal text for instructors who teach a one-semester course and prefer a briefer presentation of topics.

  • 0321422090Elementary Statistics, 7/E
    Weiss
    © 2008 | Addison-Wesley | Cloth Bound w/CD-ROM; 780 pages | Instock
    ISBN-10: 0321422090 | ISBN-13: 9780321422095
    Brief Description | Buy from myPearsonStore

    • Together we can raise confidence to a new level. Triola's Elementary Statistics Using Excel, Third Edition,  promotes statistical literacy and critical thinking,  using Excel as the key  tool. This book guides students through the concepts behind the calculations, raising confidence in their ability to do statistics.

     

    Elementary Statistics Using Excel, Third Edition,is a complete introduction to basic statistics, featuring extensive instruction on the use of Excel spreadsheet technology for the analysis of data. Topics are presented with illustrative examples, many of which use real data. The text also identifies required assumptions. Extensive Excel instructions are provided along with typical displays of results, as well as information about Excel's limitations and alternative approaches to problem-solving. The CD-ROM included with each copy of the book contains: DDXL (Version 2.0), a software add-in that enhances and expands the capability of Excel, and Appendix B data sets in the form of Excel workbooks.

  • 0321365135Elementary Statistics Using Excel, 3/E
    Triola
    © 2007 | Addison-Wesley | Cloth Bound with Disk; 948 pages | Instock
    ISBN-10: 0321365135 | ISBN-13: 9780321365132
    Brief Description | Buy from myPearsonStore

    • Elementary Statistics Using the TI-83/84 Plus Calculator, Second Edition, guides students through the concepts behind the calculations, raising confidence in their ability to do statistics. This text features an engaging writing style, an abundance of relevant exercises with real data, and an emphasis on interpretation of statistical results. In addition, this text provides extensive instruction on using the TI-83 and TI-84 Plus (and Silver Edition) calculators for statistics, with information on calculator functions, images of screen displays, and projects designed exclusively for the calculator.

     

    Elementary Statistics Using the Graphing Calculator is written for a one-semester introductory statistics course in which the TI-83 or TI-84 Plus graphing calculator is used. It is appropriate for students majoring in any field.  Completion of an elementary algebra course is recommended, but not required, because the use of algebra in the text is minimal.

  • 0321462572Elementary Statistics Using the TI-83/84 Plus Calculator, 2/E
    Triola
    © 2008 | Addison-Wesley | Cloth Bound w/CD-ROM; 936 pages | Instock
    ISBN-10: 0321462572 | ISBN-13: 9780321462572
    Brief Description | Buy from myPearsonStore

    • Addison-Wesley is proud to celebrate the Tenth Edition of Elementary Statistics, now with a Multimedia Study Guide on CD-ROM included with every new copy of the book. The Multimedia Study Guide contains nine hours of review exercise videos presented by the author, animated flowcharts that walk students through complex concepts and procedures, and selected solutions from the Student’s Solutions manual.


    This text is highly regarded because of its engaging and understandable introduction to statistics. The author's commitment to providing student-friendly guidance through the material and giving students opportunities to apply their newly learned skills in a real-world context has made Elementary Statistics the #1 best-seller in the market.

     

    Students learning from Elementary Statistics should have completed an elementary algebra course. Although formulas and formal procedures can be found throughout the text, the emphasis is on development of statistical literacy and critical thinking. 
  • 0321460928Elementary Statistics With Multimedia Study Guide, 10/E
    Triola
    © 2008 | Addison-Wesley | Cloth Bound w/CD-ROM; 912 pages | Instock
    ISBN-10: 0321460928 | ISBN-13: 9780321460929
    Brief Description | Buy from myPearsonStore

    • For algebra-based Introductory Statistics courses.

     

    Offering the most accessible approach to statistics, with a strong visual/graphical emphasis, this text offers a vast number of examples on the premise that students learn best by "doing". The fourth edition features many updates and revisions that place increased emphasis on interpretation of results and critical thinking in addition to calculations.  This emphasis on "statistical literacy" is reflective of the GAISE recommendations.

  • 0132424339Elementary Statistics: Picturing the World, 4/E
    Larson & Farber
    © 2009 | Prentice Hall | Cloth Bound w/CD-ROM; 792 pages | Instock
    ISBN-10: 0132424339 | ISBN-13: 9780132424332
    Brief Description | Buy from myPearsonStore

    • Essentials of Statistics,Third Edition is the ideal text for instructors who want a more economical and streamlined text for their introductory statistics course. Drawn from Triola's Elementary Statistics, Tenth Edition, this text provides the same student-friendly approach with material presented in a real-world context.

     

  • 0321434250Essentials of Statistics, 3/E
    Triola
    © 2008 | Addison-Wesley | Paper Bound w/CD-ROM; 672 pages | Instock
    ISBN-10: 0321434250 | ISBN-13: 9780321434258
    Brief Description | Buy from myPearsonStore

    • The Tenth Edition of this highly-regarded introductory text emphasizes inference and sound decision-making through its extensive coverage of data collection and analysis. McClave develops statistical thinking and teaches students to properly assess the credibility of inferences–from the vantage point of both the consumer and the producer. This edition incorporates more exercises and more visual features, such as redesigned end-of-chapter summaries and an increased use of applets. This text assumes a mathematical background of basic algebra.

  • 0136152597First Course in Statistics, A, 10/E
    McClave & Sincich
    © 2009 | Prentice Hall | Paper; 624 pages | Instock
    ISBN-10: 0136152597 | ISBN-13: 9780136152590
    Brief Description | Buy from myPearsonStore

    • For one semester algebra-based Introductory Statistics Courses.

     

    This very popular text promotes student success while maintaining the statistical integrity of the course. Three objectives motivate this text: (1) to generate and maintain student interest, thereby promoting student success and confidence; (2) to provide extensive and effective opportunity for student practice; (3) to permit flexibility of teaching styles. This revision follows the Guidelines for Assessment and Instruction in Statistics Education (GAISE) for the college introductory statistics course.

     

     

  • 0131569872Fundamentals of Statistics, 2/E
    Sullivan
    © 2008 | Prentice Hall | Paper; 600 pages | Instock
    ISBN-10: 0131569872 | ISBN-13: 9780131569874
    Brief Description | Buy from myPearsonStore

    • Intro Stats, Third Edition, extends the teaching innovations pioneered in the DeVeaux/Velleman/Bock books. Its focus on statistical thinking and modern practice are evident throughout. Each chapter opens with an example–and the data from that example are then displayed and analyzed to introduce new concepts. Graphics and summaries introduced in early chapters are used throughout the book, helping students become consistent statistical thinkers.

     

    Intro Stats, Third Edition has a fun, conversational writing style, real up-to-date data, hundreds of examples based on current events, and short, accessible chapters. The innovative Think/Show/Tell examples, pioneered in the first edition, now present new data and discussions. The new For Example sections illustrate each new concept or method with a brief, worked example.

     

    This text covers all material typical in a one-semester statistics course, with supplemental chapters on analysis of variance (ANOVA) and multiple regression included on the book’s DVD-ROM. The text maintains its commitment to the recommendations of the ASA-endorsed GAISE (Guidelines for Assessment for Instruction in Statistical Education) Report.

  • 0321500458Intro Stats, 3/E
    De Veaux, Velleman & Bock
    © 2009 | Addison-Wesley | Cloth Bound w/CD-ROM; 864 pages | Instock
    ISBN-10: 0321500458 | ISBN-13: 9780321500458
    Brief Description | Buy from myPearsonStore

    • Weiss’s Introductory Statistics, Eighth Edition, features a thorough presentation of the reasoning behind statistics, balanced with analysis and exploration of real data.  This text emphasizes the development of statistical thinking rather than rote drill and practice.

    This new edition continues Weiss’s tradition of cutting-edge statistical pedagogy and seamless integration of technology, and includes hundreds of new exercises with carefully cited data from journals, magazines, newspapers, and Web sites.

    Introductory Statistics    , Eighth Edition, contains a parallel presentation of the P-value and critical value approaches to hypothesis testing and promotes active learning and critical thinking, particularly in the exercises and end-of-chapter projects.  The scope and flexibility of this Weiss text make it suitable for a one- or two-semester course.
  • 0321393619Introductory Statistics, 8/E
    Weiss
    © 2008 | Addison-Wesley | Cloth Bound w/CD-ROM; 976 pages | Instock
    ISBN-10: 0321393619 | ISBN-13: 9780321393616
    Brief Description | Buy from myPearsonStore

    • MyStatLab (part of the MyMathLab® and MathXL® product family) is a text-specific, easily customizable online course that integrates interactive multimedia instruction with textbook content. It is a one-stop resource for instructors to access valuable supplements and features powerful course management tools to help you eliminate time-consuming administrative work so you can focus on teaching. MyStatLab provides students with a personalized interactive learning environment, with dynamic learning tools to help them master the material and succeed. For more information, visit our website at www.mystatlab.com or contact your Pearson sales representative.

  • 0321571622MYSTATLAB: Simplicity, dependability, choice...proven success!
    Addison-Wesley
    © 2008 | Addison-Wesley | On-line Supplement | Estimated Availability: 02/22/2008
    ISBN-10: 0321571622 | ISBN-13: 9780321571625
    URL: http://www.mystatlab.com
    Brief Description

    • Statistical Reasoning for Everyday Life, Third Edition, teaches students how to be better consumers of information by showing the role of statistics in many aspects of everyday life. This text uses real examples and case studies to build an understanding of the core ideas of statistics that can be applied to a variety of subject areas.  The authors include data from real sources to help students become better critical thinkers and decision makers, whether they decide to start a new business, plan for their financial future, or just watch the news.

  • 0321286723Statistical Reasoning for Everyday Life, 3/E
    Bennett, Briggs & Triola
    © 2009 | Addison-Wesley | Paper; 512 pages | Instock
    ISBN-10: 0321286723 | ISBN-13: 9780321286727
    Brief Description | Buy from myPearsonStore

    • The Eleventh Edition of this highly-regarded introductory text emphasizes inference and sound decision-making through its extensive coverage of data collection and analysis. McClave develops statistical thinking and teaches students to properly assess the credibility of inferences–from the vantage point of both the consumer and the producer. This edition incorporates more exercises and more visual features, such as redesigned end-of-chapter summaries and an increased use of applets. This text assumes a mathematical background of basic algebra.

  • 0132069512Statistics, 11/E
    McClave, Sincich & Mendenhall
    © 2009 | Prentice Hall | Cloth Bound w/CD-ROM; 864 pages | Instock
    ISBN-10: 0132069512 | ISBN-13: 9780132069519
    Brief Description | Buy from myPearsonStore

    • For a one- or two-term course in business statistics.

     

    This best-selling introduction stresses the development of statistical thinking — the assessment of credibility and value of the inferences made from data — by both those who consume and those who produce the information. The authors emphasize inference; data collection and analysis are covered extensively, as needed, to evaluate the reported results of statistical studies and to make good business decisions. Numerous case studies, examples, and exercises draw on real business situations and recent economic events. Assumes a background in basic algebra.

     

    The text incorporates the following American Statistical Association (ASA) guidelines developed from both the Making Statistics More Effective in Schools of Business (MSMESB) conferences and Guidelines for Assessment and Instruction in Statistics Education (GAISE) Project:

    • Students are most effectively motivated by seeing statistics at work in real applications, problems, cases, and projects.
    • Students should be provided with the opportunity to work with real data and make use of technology for statistical computations.
    • Formal training in probability needs to be downplayed in favor of intuitive concepts of probability.
    • We need to reduce our emphasis on formal theory of statistics and increase emphasis on applications.

     

  • 0132409356Statistics for Business & Economics, 10/E
    McClave, Benson & Sincich
    © 2008 | Prentice Hall | Cloth Bound w/CD-ROM; 944 pages | Instock
    ISBN-10: 0132409356 | ISBN-13: 9780132409353
    Brief Description | Buy from myPearsonStore

    • For algebra-based Introductory Statistics Courses.

    This very popular text is written to promote student success while maintaining the statistical integrity of the course. The author draws on his teaching experience and background in statistics and mathematics to achieve this balance. Three fundamental objectives motivate this text: (1) to generate and maintain student interest, thereby promoting student success and confidence; (2) to provide extensive and effective opportunity for student practice; (3) Allowing for flexibility of teaching styles.

  • 0131871498Statistics: Informed Decisions Using Data, 2/E
    Sullivan
    © 2007 | Prentice Hall | Cloth; 928 pages | Instock
    ISBN-10: 0131871498 | ISBN-13: 9780131871496
    Brief Description | Buy from myPearsonStore

    • For algebra-based Introductory Statistics Courses.

     

    The overarching goal of this text is to empower students to be statistical thinkers

     

    Alan Agresti and Chris Franklin have merged their research expertise, as well as their extensive real-world and teaching experience, to develop a new introductory statistics text that makes students statistically literate, while encouraging them to ask and answer interesting statistical questions. The authors have successfully crafted a text that takes the ideas that have turned statistics into a central science in modern life and makes them accessible and engaging to students without compromising necessary rigor.

     

    The varied and data-rich examples and exercises place heavy emphasis on thinking about and understanding statistical concepts.  The applications are topical and current and successfully illustrate the relevance of statistics.

     

    The authors understand that most of the real-world data that students encounter outside the class room are categorical data.  Unlike many texts at this level, Agresti/Franklin incorporates categorical data where appropriate and draws distinctions between theory and practical application of statistical ideas and methods.

     

    The text was written, from the ground up, to embrace and support the 6 recommendations of the ASA endorsed GAISE (Guidelines for Assessment for Instruction in Statistical Education) Report - http://www.amstat.org/education/gaise/GAISECollege.htm:

    • Emphasize statistical literacy and develop statistical thinking.
    • Use real data.
    • Stress conceptual understanding rather than mere knowledge of procedures.
    • Foster active learning in the classroom.
    • Use technology for developing  concepts and analyzing data.
    • Use assessment to evaluate and improve student learning.

     

    Comes with a CD containing data sets, additional activities, and applets.  The CD with the IE, furthermore, includes Instructor-to-Instructor videos which further detail, by chapter, the authors approach and provides suggestions on how to present concepts. These Instructor-to-Instructor videos are very complimentary to the IE chapter introductions.

  • 0130083690Statistics: The Art and Science of Learning From Data
    Agresti & Franklin
    © 2007 | Prentice Hall | Cloth; 768 pages | Instock
    ISBN-10: 0130083690 | ISBN-13: 9780130083692
    Brief Description

    • Alan Agresti and Chris Franklin have merged their research and classroom experience to develop this successful introductory statistics text. Statistics: The Art and Science of Learning from Data, Second Edition helps students become statistically literate by encouraging them to ask and answer interesting statistical questions. It takes the ideas that have turned statistics into a central science in modern life and makes them accessible and engaging to students without compromising necessary rigor.

     

    The varied and data-rich examples and exercises place heavy emphasis on thinking about and understanding statistical concepts. The applications are topical and current, and successfully illustrate the relevance of statistics. The authors believe that it is important for students to be comfortable with analyzing both quantitative and categorical data. Every day in the media, students see and hear percentages and rates being used to summarize opinion polls, outcomes of medical studies, and economic reports. As a result, greater attention is paid to the analysis of proportions than is typical of many introductory statistic texts.

     

    The text maintains its commitment to the recommendations of the ASA endorsed GAISE (Guidelines for Assessment for Instruction in Statistical Education) Report.

  • 0135131995Statistics: The Art and Science of Learning from Data, 2/E
    Agresti & Franklin
    © 2009 | Prentice Hall | Cloth Bound w/CD-ROM; 848 pages | Instock
    ISBN-10: 0135131995 | ISBN-13: 9780135131992
    Brief Description | Buy from myPearsonStore

    • Lauded by students and instructors alike for its readability and ease of comprehension, Stats: Data and Models, Second Edition, focuses on statistical thinking and data analysis. The text incorporates compelling examples derived from the authors’ wealth of consulting experience and encourages students to learn how to reason with data. The book is organized into short chapters that focus on one topic at a time and offer instructors maximum flexibility in planning courses.

     

    Written in an approachable style without sacrificing rigor, this newly revised text is appropriate for a one- or two-semester course.  Features include Math Boxes, which present the mathematical underpinnings of the statistical methods and concepts, and advanced topics, such as Analysis of Variance (ANOVA), Multiple Regression, and Nonparametrics.
  • 0321433793Stats: Data and Models, 2/E
    De Veaux, Velleman & Bock
    © 2008 | Addison-Wesley | Cloth Bound w/CD-ROM; 800 pages | Instock
    ISBN-10: 0321433793 | ISBN-13: 9780321433794
    Brief Description | Buy from myPearsonStore

    • By leading with practical data analysis and graphics, Stats: Modeling the World gets students “doing statistics” and “thinking statistically” from the start. Students understand what we find in data, why we find it interesting, and how we report it to others as a sound foundation for the challenges of inference. Instructors praise Stats: Modeling the World  as clear and accessible to students, and students report that they enjoy reading the text while learning how to do Statistics with the Think, Show, and Tell rubric and What Can Go Wrong? sections.

     

    Now even easier to read and use, every chapter of this Second Edition features new exercises graded by level of difficulty, Just Checking questions that check students’ understanding of key concepts, and What Have We Learned? sections that summarize the main topics covered in each chapter.

  • 0321375599Stats: Modeling the World, 2/E
    Bock, Velleman & De Veaux
    © 2007 | Addison-Wesley | Cloth Bound w/CD-ROM; 792 pages | Instock
    ISBN-10: 0321375599 | ISBN-13: 9780321375599