Statistics / Edition 3

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Statistics teaches students how to think about statistical issues. It is written in clear, everyday language, without the equations that baffle non-mathematical readers. The techniques are all introduced through examples, showing how statistics has helped solve major problems in economics, education, genetics, medicine, physics, political science, psychology, and other fields.
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Product Details

  • ISBN-13: 9780393970838
  • Publisher: Norton, W. W. & Company, Inc.
  • Publication date: 1/28/1998
  • Edition description: Third Edition
  • Edition number: 3
  • Pages: 720
  • Product dimensions: 7.36 (w) x 10.14 (h) x 1.50 (d)

Meet the Author

David Freedman received his B.Sc. from McGill and his Ph.D. from Princeton. He has worked as a consultant for the City of San Francisco, the County of Los Angeles, the U.S. Department of Energy, and the U.S. Department of Justice. He has written several previous books and numerous technical papers. He is a member of the American Academy of Arts and Sciences and teaches at the University of California, Berkeley.

Robert Pisani received his B.A. and Ph.D. at the University of California, Berkeley. His research interests include probability models of market-price behavior and the statistical valuation of financial instruments.

Roger Purves received his B.A. at the University of British Columbia and his Ph.D. at the University of California, Berkeley, where he currently teaches. His research interests are in the mathematical foundations of probability theory.

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Table of Contents

Chapter 1. Controlled Experiments
Chapter 2. Observational Studies

Chapter 3. The Histogram
Chapter 4. The Average Standard Deviation
Chapter 5. The Normal Approximation for Data
Chapter 6. Measurement Error
Chapter 7. Plotting Points and Lines

Chapter 8. Correlation
Chapter 9. More about Correlation
Chapter 10. Regression
Chapter 11. The R.M.S. Error for Regression
Chapter 12. The Regression Line

Chapter 13. What Are the Chances
Chapter. 14 More about Chance
Chapter 15. The Binomial Formula

Chapter 16. The Law of Averages
Chapter 17. The Expected Value and Standard Error
Chapter 18. The Normal Approximation for Probablity

Chapter 19. Sample Surveys
Chapter 20. Chance Errors in Sampling
Chapter 21. The Accuracy of Percentages
Chapter 22. Measuring Employment and Significance Unemployment
Chapter 23. The Accuracy of Averages

Chapter 24. Model for Measurement Error
Chapter 25. Chance Models in Genetics

Chapter 26. Tests of Significance
Chapter 27 More Tests for Averages
Chapter 28. The Chi-Square Test
Chapter 29. A Closer Look at Tests of Significance

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  • Anonymous

    Posted December 3, 2003

    Not just a good textbook

    As a graduate student I used the 2nd edition of this book. I enjoyed it then, but over the years I have found it a nice general statistics reference book. Explanations and exercises are clear and relevant to real-life applications. I lost my 2nd Ed. in a fire; now I'll happily try the 3rd edition--it's worth the price.

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  • Anonymous

    Posted November 24, 2001

    One of the very best Statistics textbooks!!!

    It's a fantastic textbook! I (and many-many others) have taught introductory Statistics using this book and have only good things to say! Statistics is often very hard for non-statisticians. But this book presents a great approach to explaining the fundamentals and key concepts/ideas of Statistics. I (and others) very often use that same approach when doing consulting work as well.

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