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Introduction to Statistics

The Nonparametric Way

  • Gottfried E. Noether

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

Table of contents

  1. Front Matter
    Pages i-xii
  2. Gottfried E. Noether
    Pages 1-3
  3. Gottfried E. Noether
    Pages 5-28
  4. Gottfried E. Noether
    Pages 29-44
  5. Gottfried E. Noether
    Pages 45-64
  6. Gottfried E. Noether
    Pages 65-85
  7. Gottfried E. Noether
    Pages 87-101
  8. Gottfried E. Noether
    Pages 103-127
  9. Gottfried E. Noether
    Pages 129-142
  10. Gottfried E. Noether
    Pages 143-163
  11. Gottfried E. Noether
    Pages 173-199
  12. Gottfried E. Noether
    Pages 201-219
  13. Gottfried E. Noether
    Pages 221-249
  14. Gottfried E. Noether
    Pages 251-271
  15. Gottfried E. Noether
    Pages 273-294
  16. Gottfried E. Noether
    Pages 295-301
  17. Gottfried E. Noether
    Pages 303-313
  18. Gottfried E. Noether
    Pages 315-334
  19. Gottfried E. Noether
    Pages 335-347
  20. Gottfried E. Noether
    Pages 349-370
  21. Back Matter
    Pages 371-415

About this book

Introduction

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.

Keywords

Boxplot Fitting Minitab Normal distribution Variance analysis of variance best fit classification correlation linear regression statistics

Authors and affiliations

  • Gottfried E. Noether
    • 1
  1. 1.Department of StatisticsUniversity of ConnecticutStorrsUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4612-0943-0
  • Copyright Information Springer Science+Business Media New York 1991
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-6955-7
  • Online ISBN 978-1-4612-0943-0
  • Series Print ISSN 1431-875X
  • Buy this book on publisher's site