Understanding Statistics and Experimental Design How to Not Lie with Statistics /

Understanding Statistics and Experimental Design How to Not Lie with Statistics /

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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 w...

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Bibliographic Details
Main Authors: Herzog, Michael H. (Author), Francis, Gregory (Author), Clarke, Aaron (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:Learning Materials in Biosciences,
Subjects:
Medicine > Research.
Biology > Research.
Biometry.
Science > Study and teaching.
Psychology.
Psychobiology.
Human behavior.
Biomedical Research.
Biostatistics.
Science Education.
Behavioral Sciences and Psychology.
Behavioral Neuroscience.
Online Access:Link to Metadata
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Table of Contents:
  • Part I
  • Basic Probability Theory
  • Experimental Design and the Basics of Statistics: Signal detection Theory (SDT)
  • The Core Concept of Statistics
  • Variations on the t-test
  • PART II
  • The Multiple Testing Problem
  • ANOVA
  • Experimental design: Model Fits, Power, and Complex Designs
  • Correlation
  • PART III
  • Meta-analysis
  • Understanding replication
  • Magnitude of excess success
  • Suggested improvements and challenges.

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