Data

A Collection of Problems from Many Fields for the Student and Research Worker

  • D. F. Andrews
  • A. M. Herzberg
Part of the Springer Series in Statistics book series (SSS)

Table of contents

  1. Front Matter
    Pages i-xx
  2. D. F. Andrews, A. M. Herzberg
    Pages 1-4
  3. D. F. Andrews, A. M. Herzberg
    Pages 5-8
  4. D. F. Andrews, A. M. Herzberg
    Pages 9-12
  5. D. F. Andrews, A. M. Herzberg
    Pages 13-16
  6. D. F. Andrews, A. M. Herzberg
    Pages 17-18
  7. D. F. Andrews, A. M. Herzberg
    Pages 19-34
  8. D. F. Andrews, A. M. Herzberg
    Pages 35-44
  9. D. F. Andrews, A. M. Herzberg
    Pages 45-50
  10. D. F. Andrews, A. M. Herzberg
    Pages 51-56
  11. D. F. Andrews, A. M. Herzberg
    Pages 57-62
  12. D. F. Andrews, A. M. Herzberg
    Pages 63-66
  13. D. F. Andrews, A. M. Herzberg
    Pages 67-74
  14. D. F. Andrews, A. M. Herzberg
    Pages 75-76
  15. D. F. Andrews, A. M. Herzberg
    Pages 77-84
  16. D. F. Andrews, A. M. Herzberg
    Pages 105-118
  17. D. F. Andrews, A. M. Herzberg
    Pages 119-122
  18. D. F. Andrews, A. M. Herzberg
    Pages 123-126
  19. D. F. Andrews, A. M. Herzberg
    Pages 127-130

About this book

Introduction

Statistics provides tools and strategies for the analysis of data. While much has been written about the methodology, sometimes without reference to data, little has been said about the data. In this volume we present sets of data obtained from many situations without any direct reference to a particular type of analysis. Our view of the usefulness of bringing together a broad collection of sets of data has been shared by many friends and contributors. Students of statistics need to gain facility with their art by applying their knowledge to many sets of data. Textbook examples tend to be small and selected primarily to illustrate a particular technique, thus failing to demonstrate the questioning, iterative nature of statistical analysis. The situations which gave rise to the more extensive sets of data given in this volume are colourful and interesting, and can be readily understood by laymen, students and research workers with diverse interests. These sets were often chosen for their perverse reluctance to yield under the naive application of standard procedures. They do not have correct solutions. They describe situations where the statisti­ cian can develop skills and learn the limitations of statistical methods.

Keywords

Fields Statistica Statistik Volume classification correlation knowledge sets statistics tool

Authors and affiliations

  • D. F. Andrews
    • 1
  • A. M. Herzberg
    • 2
  1. 1.Department of StatisticsUniversity of TorontoTorontoCanada
  2. 2.Department of MathematicsImperial College of Science and TechnologyLondonUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4612-5098-2
  • Copyright Information Springer-Verlag New York 1985
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-9563-1
  • Online ISBN 978-1-4612-5098-2
  • Series Print ISSN 0172-7397
  • About this book