LaunchPad for Moore's The Basic Practice of Statistics (2-Term Online) by David S. Moore; William Notz; Michael Fligner - Seventh Edition, 2015 from Macmillan Student Store

LaunchPad for Moore's The Basic Practice of Statistics (2-Term Online)

Seventh Edition ©2015 David S. Moore; William Notz; Michael Fligner

David Moore’s data analysis (conceptual) approach, which revolutionized the introductory statistics textbook, moves students away from formulas and number-crunching, focusing instead on how working statisticians in a variety of fields collect and analyze data, and use the results to t...
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LaunchPad for Moore's The Basic Practice of Statistics (2-Term Online) by David S. Moore; William Notz; Michael Fligner - Seventh Edition, 2015 from Macmillan Student Store

David Moore’s data analysis (conceptual) approach, which revolutionized the introductory statistics textbook, moves students away from formulas and number-crunching, focusing instead on how working statisticians in a variety of fields collect and analyze data, and use the results to tackle real-world problems.

The clear, direct way of emphasizing the course’s relevance and confronting students’ math anxieties is at the heart of the bestselling The Basic Practice of Statistics (BPS). It is also the ideal approach for taking full advantage of the powerful statistical tools and interactive learning features in this new edition’s text/media package. Now more than ever, BPS is ready to help students move from reading about statistical practice to practicing statistics themselves.

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Features

New to This Edition

30% New Exercises and New Examples
BPS is known for the quality and variety of its exercises and examples and for the way each new edition’s exercises and examples give instructors fresh new opportunities to teaching statistical practice in the context of contemporary applications.


New Text/LaunchPad Integration
LaunchPad
BPS 7e is accompanied by its own dedicated version of W.H. Freeman’s breakthrough online course space, which offers:

  • Pre-built Units for each chapter, curated by experienced educators, with media for that chapter organized and ready to assign or customize to suit your course.
  • All online resources for the text in one location, including an interactive e-book, LearningCurve adaptive quizzing, StatTutor tutorials, video tech manuals, statistical applets, CrunchIt! statistical software, EESEE case studies, lecture and whiteboard videos, and optional chapters.
  • Intuitive and useful analytics, with a Gradebook that lets you see how your class is doing individually and as a whole.
  • Statboard Examples illustrating difficult topics through stepped-out whiteboard explanations created by instructors who use the text.
  • A streamlined  interface that lets instructors build an entire course in minutes.

Links to LaunchPad Resources Throughout
The new edition is more deeply integrated with LaunchPad with resource suggestions and references integrated throughout, helping students transition from reading to interactive learning.

New JMP Screens in the Text
The new edition features JMP screens along with W.H. Freeman’s CrunchIT! screens. Like CrunchIT!, JMP is available free of charge through LaunchPad.


More Large Data
The edition gives instructors the option of working with the large data that illustrates modern statistical practice.


New Content
New optional material on resampling and randomization

New Chapter 0. Getting Started helps orient students to course, the data analysis approach, and the many statistical tools and learning media available to them.

Expanded coverage of Data Ethics, which is now a full chapter

 

Digital Options

Table of Contents

0 Getting Started


Part I Exploring Data

1. Picturing Distributions with Graphs

2. Describing Distributions with Numbers

3. The Normal Distributions

4. Scatterplots and Correlation

5. Regression

6. Two-Way Tables*

7. Exploring Data: Part I Review


Part II Producing Data

8. Producing Data: Sampling

9. Producing Data: Experiments

10. Data Ethics*

11. Producing Data: Part II Review


Part III From Data Production to Inference

12. Introducing Probability

13. General Rules of Probability*

14. Binomial Distributions*

15. Sampling Distributions

16. Confidence Intervals: The Basics

17 Tests of Significance: The Basics

18. Inference in Practice

19. From Exploration to Inference: Part II Review


Part IV Inference About Variables

20. Inference about a Population Mean

21. Two-Sample Problems

22. Inference about a Population Proportion

23. Comparing Two Proportions

24. Inference about Variables: Part IV Review


Part V Inference About Relationships

25. Two Categorical Variables: The Chi-Square Test

26. Inference for Regression

27. One-Way Analysis of Variance: Comparing Several Means


Part VI Optional Companion Chapters (available online)

28. Nonparametric Tests

29. Statistical Process Control

30. Multiple Regression

31. More about Analysis of Variance

David S. Moore

David S. Moore is Shanti S. Gupta Distinguished Professor of Statistics, Emeritus, at Purdue University and was 1998 president of the American Statistical Association. He received his AB from Princeton and his PhD from Cornell, both in mathematics. He has written many research papers in statistical theory and served on the editorial boards of several major journals. Professor Moore is an elected fellow of the American Statistical Association and of the Institute of Mathematical Statistics and an elected member of the International Statistical Institute. He has served as program director for statistics and probability at the National Science Foundation.
In recent years, Professor Moore has devoted his attention to the teaching of statistics. He was the content developer for the Annenberg/Corporation for Public Broadcasting college-level telecourse Against All Odds: Inside Statistics and for the series of video modules Statistics: Decisions through Data, intended to aid the teaching of statistics in schools. He is the author of influential articles on statistics education and of several leading texts. Professor Moore has served as president of the International Association for Statistical Education and has received the Mathematical Association of America’s national award for distinguished college or university teaching of mathematics.

William I. Notz

William I. Notz is Professor of Statistics at the Ohio State University. He received his B.S. in physics from the Johns Hopkins University and his Ph.D. in mathematics from Cornell University. His first academic job was as an assistant professor in the Department of Statistics at Purdue University. While there, he taught the introductory concepts course with Professor Moore and as a result of this experience he developed an interest in statistical education. Professor Notz is a co-author of EESEE (the Electronic Encyclopedia of Statistical Examples and Exercises) and co-author of Statistics: Concepts and Controversies.
Professor Notz’s research interests have focused on experimental design and computer experiments. He is the author of several research papers and of a book on the design and analysis of computer experiments. He is an elected fellow of the American Statistical Association. He has served as the editor of the journal Technometrics and as editor of the Journal of Statistics Education. He has served as the Director of the Statistical Consulting Service, as acting chair of the Department of Statistics for a year, and as an Associate Dean in the College of Mathematical and Physical Sciences at the Ohio State University. He is a winner of the Ohio State University’s Alumni Distinguished Teaching Award.

Michael A. Fligner

Michael A. Fligner is an Adjunct Professor at the University of California at Santa Cruz and a non-resident Professor Emeritus with the Ohio State University. He received his B.S. in mathematics from the State University of New York at Stony Brook and his Ph.D. from the University of Connecticut. He spent almost 40 years at the Ohio State University where he was Vice Chair of the Department for over 10 years and also served as Director of the Statistical Consulting Service. He has done consulting work with several large corporations in Central Ohio. Professor Fligner's research interests are in Nonparametric Statistical methods and he received the Statistics in Chemistry award from the American Statistical Association for work on detecting biologically active compounds. He is co-author of the book Statistical Methods for Behavioral Ecology and received a Fulbright scholarship under the American Republics Research program to work at the Charles Darwin Research Station in the Galapagos Islands. He has been an Associate Editor of the Journal of Statistical Education. Professor Fligner is currently associated with the Center for Statistical Analysis in the Social Sciences at the University of California at Santa Cruz.