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Statistical Tables and Formulae

  • Stephen Kokoska
  • Christopher Nevison

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

Table of contents

  1. Front Matter
    Pages i-v
  2. Stephen Kokoska, Christopher Nevison
    Pages 1-2
  3. Stephen Kokoska, Christopher Nevison
    Pages 3-7
  4. Stephen Kokoska, Christopher Nevison
    Pages 8-8
  5. Stephen Kokoska, Christopher Nevison
    Pages 9-49
  6. Stephen Kokoska, Christopher Nevison
    Pages 50-51
  7. Stephen Kokoska, Christopher Nevison
    Pages 52-54
  8. Stephen Kokoska, Christopher Nevison
    Pages 55-56
  9. Stephen Kokoska, Christopher Nevison
    Pages 57-57
  10. Stephen Kokoska, Christopher Nevison
    Pages 58-59
  11. Stephen Kokoska, Christopher Nevison
    Pages 60-62
  12. Stephen Kokoska, Christopher Nevison
    Pages 63-63
  13. Stephen Kokoska, Christopher Nevison
    Pages 64-66
  14. Stephen Kokoska, Christopher Nevison
    Pages 67-69
  15. Stephen Kokoska, Christopher Nevison
    Pages 70-71
  16. Stephen Kokoska, Christopher Nevison
    Pages 72-73
  17. Stephen Kokoska, Christopher Nevison
    Pages 74-74
  18. Stephen Kokoska, Christopher Nevison
    Pages 75-76
  19. Stephen Kokoska, Christopher Nevison
    Pages 77-80
  20. Stephen Kokoska, Christopher Nevison
    Pages 81-82
  21. Stephen Kokoska, Christopher Nevison
    Pages 83-84
  22. Stephen Kokoska, Christopher Nevison
    Pages 85-85
  23. Stephen Kokoska, Christopher Nevison
    Pages 86-86
  24. Back Matter
    Pages 87-88

About this book

Introduction

All students and professionals in statistics should refer to this volume as it is a handy reference source for statistical formulas and information on basic probability distributions. It contains carefully designed and well laid out tables for standard statistical distributions (including Binomial, Poisson, Normal, and Chi-squared). In addition, there are several tables of Critical Values for various statistics tests.

Keywords

Descriptive statistics Normal distribution Parametric statistics Probability distribution Random variable Variance analysis of variance correlation linear regression

Authors and affiliations

  • Stephen Kokoska
    • 1
  • Christopher Nevison
    • 2
  1. 1.Department of MathematicsColgate UniversityHamiltonUSA
  2. 2.Department of Computer ScienceColgate UniversityHamiltonUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4613-9629-1
  • Copyright Information Springer-Verlag New York 1989
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-387-96873-5
  • Online ISBN 978-1-4613-9629-1
  • Series Print ISSN 1431-875X
  • Buy this book on publisher's site