Learning Materials in Biosciences
Open Access This content is freely available online to anyone, anywhere at any time.

Understanding Statistics and Experimental Design

How to Not Lie with Statistics

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

Vorschau
  • 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
  •  
Weitere Vorteile

Dieses Buch kaufen

eBook  
  • ISBN 978-3-030-03499-3
  • Dieses Buch ist ein Open Access Buch und ist frei zugänglich auf link.springer.com
Softcover 53,49 €
Preis für Deutschland (Brutto)
Über dieses Lehrbuch

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.

Über die Autor*innen

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.

Stimmen zum Buch

“Readers with little or no background in statistics will appreciate how these fundamental concepts are so well illustrated in this book to establish the solid foundation of probability and statistics.” (David Han, Mathematical Reviews, April, 2020)


Inhaltsverzeichnis (12 Kapitel)

Inhaltsverzeichnis (12 Kapitel)
  • Basic Probability Theory

    Seiten 3-11

    Herzog, Michael H. (et al.)

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

    Seiten 13-22

    Herzog, Michael H. (et al.)

  • The Core Concept of Statistics

    Seiten 23-50

    Herzog, Michael H. (et al.)

  • Variations on the t-Test

    Seiten 51-59

    Herzog, Michael H. (et al.)

  • The Multiple Testing Problem

    Seiten 63-66

    Herzog, Michael H. (et al.)

Dieses Buch kaufen

eBook  
  • ISBN 978-3-030-03499-3
  • Dieses Buch ist ein Open Access Buch und ist frei zugänglich auf link.springer.com
Softcover 53,49 €
Preis für Deutschland (Brutto)
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Bibliografische Information

Bibliographic Information
Buchtitel
Understanding Statistics and Experimental Design
Buchuntertitel
How to Not Lie with Statistics
Autoren
Titel der Buchreihe
Learning Materials in Biosciences
Copyright
2019
Verlag
Springer International Publishing
Copyright Inhaber
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
Buchreihen ISSN
2509-6125
Auflage
1
Seitenzahl
XI, 142
Anzahl der Bilder
6 schwarz-weiß Abbildungen, 29 Abbildungen in Farbe
Themen