Statistics: Principles and Methods / Edition 4

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Overview

Noted for its clear and concise, statistically accurate discussions that constantly probe beyond the procedures to teach the reader the reasoning behind a method. The authors discuss the assumptions that all statistical models make, and motivate discussions using real-life examples. By means of good motivation, sound explanations, and an abundance of illustrations given in a real-world context, this book emphasizes more than just a superficial understanding of the material.
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Editorial Reviews

Booknews
A text for students without a strong background in mathematics, covering basic ideas of statistics and their applications in various practical settings. Core material is common to first courses in statistics and is designed to be covered in a one-semester course in introductory statistics for freshmen-seniors. Coverage spans descriptive statistics, ideas of probability and sample-to-sample variation, and statistical methods for analyzing common types of data. There is more complete coverage of regression analysis than in most introductory texts. This fourth edition offers more emphasis on understanding data, new exercises, and new case studies. The authors are affiliated with the University of Wisconsin-Madison. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

  • ISBN-13: 9780471388975
  • Publisher: Wiley, John & Sons, Incorporated
  • Publication date: 8/28/2000
  • Edition description: Older Edition
  • Edition number: 4
  • Pages: 736
  • Product dimensions: 7.82 (w) x 9.55 (h) x 1.25 (d)

Meet the Author

Richard Johnson

Klaus Wolff, MD

Professor and Chairman Emeritus

Department of Dermatology

Medical University of Vienna

Chief Emeritus, Dermatology Service

General Hospital of Vienna

Vienna, Austria

Richard Allen Johnson, MD

Clinical Instructor and Associate in Dermatology

Massachusetts General Hospital

Harvard Medical School

Boston, MA

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Table of Contents

Organization and Description of Data.
Descriptive Study of Bivariate Data.
Probability.
Probability Distributions.
The Normal Distribution.
Variation in Repeated Samples-- Sampling Distributions.
Drawing Inferences from Large Samples.
Small-Sample Inferences for Normal Populations.
Comparing Two Treatments.
Regression Analysis-- I (Simple Linear Regression).
Regression Analysis-- II: Multiple Linear Regression and Other Topics.
Analysis of Categorical Data.
Analysis of Variance (ANOVA).
Nonparametric Inference.
Appendices.
Data Bank.
Answers to Selected Odd-Numered Exercises.
Index.
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