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Table of contents

  1. Front Matter
    Pages i-xi
  2. The Essentials of Statistics

    1. Front Matter
      Pages 1-1
    2. Michael H. Herzog, Gregory Francis, Aaron Clarke
      Pages 3-11 Open Access
    3. Michael H. Herzog, Gregory Francis, Aaron Clarke
      Pages 13-22 Open Access
    4. Michael H. Herzog, Gregory Francis, Aaron Clarke
      Pages 23-50 Open Access
    5. Michael H. Herzog, Gregory Francis, Aaron Clarke
      Pages 51-59 Open Access
  3. The Multiple Testing Problem

    1. Front Matter
      Pages 61-61
    2. Michael H. Herzog, Gregory Francis, Aaron Clarke
      Pages 63-66 Open Access
    3. Michael H. Herzog, Gregory Francis, Aaron Clarke
      Pages 67-82 Open Access
    4. Michael H. Herzog, Gregory Francis, Aaron Clarke
      Pages 83-94 Open Access
    5. Michael H. Herzog, Gregory Francis, Aaron Clarke
      Pages 95-102 Open Access
  4. Meta-analysis and the Science Crisis

    1. Front Matter
      Pages 103-103
    2. Michael H. Herzog, Gregory Francis, Aaron Clarke
      Pages 105-110 Open Access
    3. Michael H. Herzog, Gregory Francis, Aaron Clarke
      Pages 111-121 Open Access
    4. Michael H. Herzog, Gregory Francis, Aaron Clarke
      Pages 123-131 Open Access
    5. Michael H. Herzog, Gregory Francis, Aaron Clarke
      Pages 133-142 Open Access

About this book

Introduction

This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings.  Part I makes key concepts in statistics readily clear. Parts I and II give an overview of the most common tests (t-test, ANOVA, correlations) and work out their statistical principles. Part III provides insight into meta-statistics (statistics of statistics) and demonstrates why experiments often do not replicate. Finally, the textbook shows how complex statistics can be avoided by using clever experimental design.  Both non-scientists and students in Biology, Biomedicine and Engineering will benefit from the book by learning the statistical basis of scientific claims and by discovering ways to evaluate the quality of scientific reports in academic journals and news outlets.

Keywords

Experimental design statistics in life sciences concepts of statistics T-test ANOVA PCA correlations meta-statistics reproduction hypothesis testing metrics simple probabilities questionable research practices

Authors and affiliations

  • Michael H. Herzog
    • 1
  • Gregory Francis
    • 2
  • Aaron Clarke
    • 3
  1. 1.Brain Mind InstituteÉcole Polytechnique Fédérale de Lausanne Brain Mind InstituteLausanneSwitzerland
  2. 2.Dept. Psychological SciencesPurdue University Dept. Psychological SciencesWest LafayetteUSA
  3. 3.Psychology DepartmentBilkent UniversityAnkaraTurkey

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-03499-3
  • Copyright Information The Editor(s) (if applicable) and The Author(s) 2019
  • License CC BY-NC
  • Publisher Name Springer, Cham
  • eBook Packages Biomedical and Life Sciences
  • Print ISBN 978-3-030-03498-6
  • Online ISBN 978-3-030-03499-3
  • Series Print ISSN 2509-6125
  • Series Online ISSN 2509-6133
  • Buy this book on publisher's site
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