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Applying and Interpreting Statistics

A Comprehensive Guide

  • Glen McPherson

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

Table of contents

  1. Front Matter
    Pages i-xxviii
  2. Glen McPherson
    Pages 35-45
  3. Glen McPherson
    Pages 59-71
  4. Glen McPherson
    Pages 96-115
  5. Glen McPherson
    Pages 174-190
  6. Glen McPherson
    Pages 191-217
  7. Glen McPherson
    Pages 218-232
  8. Glen McPherson
    Pages 233-281
  9. Glen McPherson
    Pages 326-358
  10. Glen McPherson
    Pages 449-511
  11. Glen McPherson
    Pages 566-585
  12. Glen McPherson
    Pages 586-592
  13. Glen McPherson
    Pages 593-612
  14. Back Matter
    Pages 613-641

About this book

Introduction

In the period since the first edition was published, I have appreciated the corre­ spondence from all parts of the world expressing thanks for the presentation of statistics from a user's perspective. It has been particularIy pleasing to have been invited to contribute to course restructuring and development based on the ap­ proach to learning and applying statistics that underlies this book. In addition, I have taken account of suggestions and criticisms, and I hope that this new edition will address all major concerns. The range of readily accessible statistical methods has greatly expanded over the past decade, particularly with the growing accessibility of comprehensive statisti­ cal computing packages. The approach adopted in this book has anticipated the changes by its emphasis on building understanding and skills in method selection and interpretation of findings. There has been a reduction in computational for­ mulas to reflect the fact that basic statistical analyses are now almost universally undertaken on computers. This has allowed the inclusion of a more general cover­ age of unifying methodology, particularly Generalized linear methodology, which permits users to more accurately match their requirements to statistical models and methods. A major addition is a chapter on the commonly used multivariate methods.

Keywords

Analysis Chi-squared distribution Excel Normal distribution Probability distribution SAS SPSS Sage Statistical Analysis Statistical Computing Statistical Models sets

Authors and affiliations

  • Glen McPherson
    • 1
  1. 1.School of Mathematics and PhysicsThe University of TasmaniaHobartAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4757-3435-5
  • Copyright Information Springer-Verlag New York 2001
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4419-2879-5
  • Online ISBN 978-1-4757-3435-5
  • Series Print ISSN 1431-875X
  • Buy this book on publisher's site