Learning Materials in Biosciences
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Understanding Statistics and Experimental Design

How to Not Lie with Statistics

Authors: Herzog, Michael, Francis, Gregory, Clarke, Aaron

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  • Open access book
  • Short and mathematical as simple as possible
  • Provides a full account to the mostly used statistical tests
  • Makes the key statistical concepts and reasoning readily accessible
  • Teaches the reader the meta-statistical principles
  • Offers a completely new way of judging the quality of scientific studies in science and daily life
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eBook  
  • ISBN 978-3-030-03499-3
  • This book is an open access book, you can download it for free on link.springer.com
Softcover $59.99
price for USA in USD
  • ISBN 978-3-030-03498-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this Textbook

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.

About the authors

Michael Herzog is a professor at the EPFL in Switzerland. He studied Mathematics, Biology, and Philosophy at the Universities of Erlangen, Tübingen, and MIT. His primary area of research is the field of vision using all sorts of experimental designs including psychophysical methods, TMS, EEG, and mathematical modeling.

Greg Francis is a professor of Psychological Sciences at Purdue University. His primary area of research develops and tests computational neural network models of human visual perception. A secondary area of interest explores how to identify faulty uses of statistics, such as publication bias and questionable research practices. He also applies cognitive models to topics in human factors and develops on-line teaching tools.

Aaron Clarke is a professor at Bilkent University. He is a psychologist by training with a special emphasis on computational neuroscience and statistics.

Table of contents (12 chapters)

Table of contents (12 chapters)
  • Basic Probability Theory

    Pages 3-11

    Herzog, Michael H. (et al.)

  • Experimental Design and the Basics of Statistics: Signal Detection Theory (SDT)

    Pages 13-22

    Herzog, Michael H. (et al.)

  • The Core Concept of Statistics

    Pages 23-50

    Herzog, Michael H. (et al.)

  • Variations on the t-Test

    Pages 51-59

    Herzog, Michael H. (et al.)

  • The Multiple Testing Problem

    Pages 63-66

    Herzog, Michael H. (et al.)

Buy this book

eBook  
  • ISBN 978-3-030-03499-3
  • This book is an open access book, you can download it for free on link.springer.com
Softcover $59.99
price for USA in USD
  • ISBN 978-3-030-03498-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Understanding Statistics and Experimental Design
Book Subtitle
How to Not Lie with Statistics
Authors
Series Title
Learning Materials in Biosciences
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
The Editor(s) (if applicable) and The Author(s)
eBook ISBN
978-3-030-03499-3
DOI
10.1007/978-3-030-03499-3
Softcover ISBN
978-3-030-03498-6
Series ISSN
2509-6125
Edition Number
1
Number of Pages
XI, 142
Number of Illustrations
6 b/w illustrations, 29 illustrations in colour
Topics