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Essential Statistics

  • Book
  • © 1989

Overview

Authors:
  1. D. G. Rees

    1. Department of Computing and Mathematical Sciences, Oxford Polytechnic, UK

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Table of contents (16 chapters)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. What is statistics?

    • D. G. Rees
    Pages 1-5

  3. Some statistical notation

    • D. G. Rees
    Pages 6-10

  4. Summarizing data by tables and by graphical methods

    • D. G. Rees
    Pages 11-23

  5. Summarizing data by numerical measures

    • D. G. Rees
    Pages 24-38

  6. Probability

    • D. G. Rees
    Pages 39-51

  7. Discrete probability distributions

    • D. G. Rees
    Pages 52-64

  8. Continuous probability distributions

    • D. G. Rees
    Pages 65-76

  9. Samples and populations

    • D. G. Rees
    Pages 77-84

  10. Confidence interval estimation

    • D. G. Rees
    Pages 85-99

  11. Hypothesis testing

    • D. G. Rees
    Pages 100-115

  12. Non-parametric hypothesis tests

    • D. G. Rees
    Pages 116-129

  13. Association of categorical variables

    • D. G. Rees
    Pages 130-138

  14. Correlation of quantitative variables

    • D. G. Rees
    Pages 139-152

  15. Regression analysis

    • D. G. Rees
    Pages 153-166

  16. χ2 goodness-of-fit tests

    • D. G. Rees
    Pages 167-180

  17. Minitab

    • D. G. Rees
    Pages 181-201

  18. Back Matter

    Pages 202-258
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Keywords

Authors and Affiliations

  • Department of Computing and Mathematical Sciences, Oxford Polytechnic, UK

    D. G. Rees

Bibliographic Information

  • Book Title: Essential Statistics

  • Authors: D. G. Rees

  • DOI: https://doi.org/10.1007/978-1-4899-7260-6

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media Dordrecht 1989

  • Softcover ISBN: 978-0-412-32030-9Published: 01 January 1989

  • eBook ISBN: 978-1-4899-7260-6Published: 14 December 2013

  • Edition Number: 2

  • Number of Pages: XIV, 258

  • Number of Illustrations: 20 b/w illustrations

  • Topics: Statistical Theory and Methods

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