ISBN-10:
142922424X
ISBN-13:
2901429224245
Pub. Date:
01/28/2009
Publisher:
Freeman, W. H. & Company
Basic Practice of Statistics / Edition 5

Basic Practice of Statistics / Edition 5

by David S. Moore

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Product Details

ISBN-13: 2901429224245
Publisher: Freeman, W. H. & Company
Publication date: 01/28/2009
Edition description: New Edition
Pages: 730
Product dimensions: 6.00(w) x 1.25(h) x 9.00(d)

About the Author

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 A.B. from Princeton and his Ph.D. 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 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 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.

Table of Contents

Introduction: Statistical Thinking

PART 1. UNDERSTANDING DATA
   1. Examining Distributions

       Introduction
       1.1 Displaying Distributions with Graphs
       1.2 Describing Distributions with Numbers
       1.3 The Normal Distributions
        1.4 Statistics in Summary

    2. Examining Relationships
        Introduction
        2.1 Scatterplots
        2.2 Correlation
        2.3 Least-Square Regression
        2.4 Causations About Correlation and Regression
        2.5 Relations in Categorical Data*
        2.6 Statistics in Summary

    3. Producing Data
        Introduction
        3.1 Designing Samples
        3.2 Designing Experiments
        3.3 Statistics in Summary

PART 2. UNDERSTANDING INFERENCE
    4. Probability and Sampling Distributions

        Introduction
        4.1 Randomness
        4.2 Probability Models
        4.3 Sampling Distributions
        4.4 Control Charts (available on The Basic Practice of Statistics CD-ROM)
        4.5 Statistics in Summary

    5. Probability Theory*
        Introduction
        5.1 General Probability Rules
        5.2 The Binomial Distributions
        5.3 Conditional Probability
        5.4 Statistics in Summary
        5.5 Control Charts (available on the CD-ROM only)

    6. Introduction to Inference
        Introduction
        6.1 Estimating with Confidence
        6.2 Tests of Significance
        6.3 Using Significance Tests
        6.4 Error Probabilities and Power*
        6.5 Statistics in Summary

    7. Inference for Distributions
        Introduction
        7.1 Inference for the Mean of a Population
        7.2 Comparing Two Means
        7.3 Inference for Population Spread
        7.4 Statistics in Summary

    8. Inference for Proportions
        Introduction
        8.1 Inference for a Population Proportion
        8.2 Comparing Two Proportions
        8.3 Statistics in Summary

PART 3. TOPICS IN INFERENCE
    9. Inference for Two-Way Tables

        Introduction
        Statistics in Summary

    10. One-Way Analysis of Variance: Comparing Several Means
        Introduction
        Statistics in Summary

    11. Inference for Regression
        Introduction
        Statistics in Summary

    12. Nonparametric Tests (available on the CD-ROM only)

Notes and Data Sources
Tables
A Standard normal probabilities
B Random digits
C t distribution critical values
D F distribution critical values
E Chi-square distribution critical values

(Optional material in Chapters 1 to 8 is marked with an asterisk (*). Note that Chapter 5 is entirely optional.)

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