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Introduction to Statistics

The Nonparametric Way

  • Textbook
  • © 1991

Overview

Authors:
  1. Gottfried E. Noether

    1. Department of Statistics, University of Connecticut, Storrs, USA

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Part of the book series: Springer Texts in Statistics (STS)

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Table of contents (20 chapters)

  1. Front Matter

    Pages i-xii
    Download chapter PDF

  2. Introduction: Why Study Statistics?

    • Gottfried E. Noether
    Pages 1-3

  3. Organizing and Summarizing Data

    • Gottfried E. Noether
    Pages 5-28

  4. Intuitive Inference

    • Gottfried E. Noether
    Pages 29-44

  5. Probability

    • Gottfried E. Noether
    Pages 45-64

  6. The Normal Distribution

    • Gottfried E. Noether
    Pages 65-85

  7. Hypothesis Testing

    • Gottfried E. Noether
    Pages 87-101

  8. The Wilcoxon Two-Sample Test

    • Gottfried E. Noether
    Pages 103-127

  9. Nonparametric and Parametric Tests

    • Gottfried E. Noether
    Pages 129-142

  10. Estimation: The Two-Sample Shift Model

    • Gottfried E. Noether
    Pages 143-163

  11. Point Estimates, Confidence Intervals, and Tests of Hypotheses

    • Gottfried E. Noether
    Pages 165-172

  12. The One-Sample Problem

    • Gottfried E. Noether
    Pages 173-199

  13. The Two-Sample Problem: Paired Observations

    • Gottfried E. Noether
    Pages 201-219

  14. The Analysis of Bivariate Data

    • Gottfried E. Noether
    Pages 221-249

  15. Least Squares Regression and Correlation

    • Gottfried E. Noether
    Pages 251-271

  16. Comparative Experiments:k-Samples

    • Gottfried E. Noether
    Pages 273-294

  17. Analysis of Variance

    • Gottfried E. Noether
    Pages 295-301

  18. The Analysis of Categorical Data

    • Gottfried E. Noether
    Pages 303-313

  19. Chi-Square Tests for Two-Way Classifications

    • Gottfried E. Noether
    Pages 315-334

  20. Binomial Probabilities

    • Gottfried E. Noether
    Pages 335-347
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Keywords

About this book

The introductory statistics course presents serious pedagogical problems to the instructor. For the great majority of students, the course represents the only formal contact with statistical thinking that he or she will have in college. Students come from many different fields of study, and a large number suffer from math anxiety. Thus, an instructor who is willing to settle for some limited objectives will have a much better chance of success than an instructor who aims for a broad exposure to statistics. Many statisticians agree that the primary objective of the introductory statistics course is to introduce students to variability and uncertainty and how to cope with them when drawing inferences from observed data. Addi­ tionally, the introductory COurse should enable students to handle a limited number of useful statistical techniques. The present text, which is the successor to the author's Introduction to Statistics: A Nonparametric Approach (Houghton Mifflin Company, Boston, 1976), tries to meet these objectives by introducing the student to the ba­ sic ideas of estimation and hypothesis testing early in the course after a rather brief introduction to data organization and some simple ideas about probability. Estimation and hypothesis testing are discussed in terms of the two-sample problem, which is both conceptually simpler and more realistic than the one-sample problem that customarily serves as the basis for the discussion of statistical inference.

Reviews

"The text is well-written and provides some unique approaches ÄwhichÜ will be appreciated by the students."
(Journal of Quality Technology)

Authors and Affiliations

  • Department of Statistics, University of Connecticut, Storrs, USA

    Gottfried E. Noether

Bibliographic Information

  • Book Title: Introduction to Statistics

  • Book Subtitle: The Nonparametric Way

  • Authors: Gottfried E. Noether

  • Series Title: Springer Texts in Statistics

  • DOI: https://doi.org/10.1007/978-1-4612-0943-0

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 1991

  • Hardcover ISBN: 978-0-387-97284-8Published: 17 December 1990

  • Softcover ISBN: 978-1-4612-6955-7Published: 27 September 2012

  • eBook ISBN: 978-1-4612-0943-0Published: 06 December 2012

  • Series ISSN: 1431-875X

  • Series E-ISSN: 2197-4136

  • Edition Number: 1

  • Number of Pages: XII, 415

  • Topics: Probability Theory and Stochastic Processes, Applications of Mathematics

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