Overview
- 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
Part of the book series: Learning Materials in Biosciences (LMB)
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Table of contents (12 chapters)
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Front Matter
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The Essentials of Statistics
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Front Matter
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The Multiple Testing Problem
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Front Matter
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Meta-analysis and the Science Crisis
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Front Matter
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Keywords
About this book
Reviews
“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)
Authors and Affiliations
About the authors
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.
Bibliographic Information
Book Title: Understanding Statistics and Experimental Design
Book Subtitle: How to Not Lie with Statistics
Authors: Michael H. Herzog, Gregory Francis, Aaron Clarke
Series Title: Learning Materials in Biosciences
DOI: https://doi.org/10.1007/978-3-030-03499-3
Publisher: Springer Cham
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2019
Softcover ISBN: 978-3-030-03498-6Published: 22 August 2019
eBook ISBN: 978-3-030-03499-3Published: 13 August 2019
Series ISSN: 2509-6125
Series E-ISSN: 2509-6133
Edition Number: 1
Number of Pages: XI, 142
Number of Illustrations: 6 b/w illustrations, 29 illustrations in colour
Topics: Molecular Medicine, Biostatistics, Science Education, Statistics for Life Sciences, Medicine, Health Sciences, Psychology Research, Behavioral Sciences