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

• 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

Summary

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.

Physical Description

XI, 142 p. 35 illus., 29 illus. in color. online resource.

ISBN

9783030034993

ISSN

2509-6133

DOI

10.1007/978-3-030-03499-3

Access

Open Access