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The New Statistical Analysis of Data

  • T. W. Anderson
  • Jeremy D. Finn
Textbook

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Introduction

    1. Front Matter
      Pages 1-1
    2. T. W. Anderson, Jeremy D. Finn
      Pages 3-25
  3. Descriptive Statistics

    1. Front Matter
      Pages 27-27
    2. T. W. Anderson, Jeremy D. Finn
      Pages 29-68
    3. T. W. Anderson, Jeremy D. Finn
      Pages 69-106
    4. T. W. Anderson, Jeremy D. Finn
      Pages 107-135
    5. T. W. Anderson, Jeremy D. Finn
      Pages 137-176
  4. Probability

    1. Front Matter
      Pages 231-231
    2. T. W. Anderson, Jeremy D. Finn
      Pages 233-272
    3. T. W. Anderson, Jeremy D. Finn
      Pages 273-303
    4. T. W. Anderson, Jeremy D. Finn
      Pages 305-343
  5. Statistical Inference

    1. Front Matter
      Pages 345-345
    2. T. W. Anderson, Jeremy D. Finn
      Pages 347-387
    3. T. W. Anderson, Jeremy D. Finn
      Pages 389-454
    4. T. W. Anderson, Jeremy D. Finn
      Pages 455-500
    5. T. W. Anderson, Jeremy D. Finn
      Pages 501-520
  6. Statistical Methods for Other Problems

    1. Front Matter
      Pages 521-521
    2. T. W. Anderson, Jeremy D. Finn
      Pages 523-567
    3. T. W. Anderson, Jeremy D. Finn
      Pages 569-595
    4. T. W. Anderson, Jeremy D. Finn
      Pages 597-638
    5. T. W. Anderson, Jeremy D. Finn
      Pages 639-658
  7. Back Matter
    Pages 659-712

About this book

Introduction

The Nature of the Book This book is a text for a first course in statistical concepts and methods. It introduces the analysis of data and statistical inference and explains various methods in enough detail so that the student can apply them. Little mathematical background is required; only high school algebra is used. No mathematical proof is given in the body of the text, although algebraic demonstrations are given in appendices at the ends of some chapters. The exposition is based on logic, verbal explanations, figures, and numerical examples. The verbal and conceptual levels are higher than the mathematical leveL The concepts and methods of statistical analysis are illustrated by more than 100 interesting real-life data sets. Some examples are taken from daily life; many deal with the behavioral sciences, some with business, the health sciences, the physical sciences, and engineering. The exercises are of varying degrees of difficulty. This book is suitable for undergraduates in many majors and for grad­ uate students in the health sciences, behavioral sciences, and education. It has grown out of our experience over many years of teaching such courses. An earlier text by T. W. Anderson and S. L. Sclove, The Statistical Analysis of Data, had similar objectives and was of a similar nature.

Keywords

Descriptive statistics Measure Normal distribution Probability distribution Regression analysis Statistical Inference Statistical Method data analysis

Authors and affiliations

  • T. W. Anderson
    • 1
  • Jeremy D. Finn
    • 2
  1. 1.Department of StatisticsStanford UniversityStanfordUSA
  2. 2.Graduate School of EducationState University of New York at BuffaloBuffaloUSA

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