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Book cover
  • Textbook
  • © 1990

Statistics in Scientific Investigation

Its Basis, Application, and Interpretation

Authors:

  1. Glen McPherson

    1. Department of Mathematics, The University of Tasmania, Hobart, Australia

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

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Table of contents (22 chapters)

  1. Front Matter

    Pages i-xxvi
    PDF

  3. Data: The Factual Information

    • Glen McPherson
    Pages 34-45

  5. Comparing Model and Data

    • Glen McPherson
    Pages 60-72

  7. Some Widely Used Statistical Models

    • Glen McPherson
    Pages 100-121

  10. Examining Proportions and Success Rates

    • Glen McPherson
    Pages 181-198

  11. Model and Data Checking

    • Glen McPherson
    Pages 199-226

  12. Questions About the “Average” Value

    • Glen McPherson
    Pages 227-241

  13. Comparing Two Groups, Treatments or Processes

    • Glen McPherson
    Pages 242-296

  15. Comparing More Than Two Treatments or Groups

    • Glen McPherson
    Pages 332-370

  18. Studying Association and Correlation

    • Glen McPherson
    Pages 475-508

  20. Questions About Variability

    • Glen McPherson
    Pages 568-588
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About this book

In this book I have taken on the challenge of providing an insight into Statistics and a blueprint for statistical application for a wide audience. For students in the sciences and related professional areas and for researchers who may need to apply Statistics in the course of scientific experimenta­ tion, the development emphasizes the manner in which Statistics fits into the framework of the scientific method. Mathematics students will find a unified, but non-mathematical structure for Statistics which can provide the motivation for the theoretical development found in standard texts on theoretical Statistics. For statisticians and students of Statistics, the ideas contained in the book and their manner of development may aid in the de­ velopment of better communications between scientists and statisticians. The demands made of readers are twofold: a minimal mathematical prerequisite which is simply an ability to comprehend formulae containing mathematical variables, such as those derived from a high school course in algebra or the equivalent; a grasp of the process of scientific modeling which comes with ei­ ther experience in scientific experimentation or practice with solving mathematical problems.
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Keywords

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Authors and Affiliations

  • Department of Mathematics, The University of Tasmania, Hobart, Australia

    Glen McPherson

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Bibliographic Information

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Buy it now

eBook USD 74.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Other ways to access

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