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Understanding Statistics and Experimental Design

How to Not Lie with Statistics /
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Author: Search for this author Herzog, Michael H. (author); Francis, Gregory. (author); Clarke, Aaron. (author)
Medium identifier: OA
Year: 2019.
Publisher: Cham :, Springer International Publishing :
Series: Learning Materials in Biosciences,
Media group: eBook
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Content

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.

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Details

Statement of Responsibility: by Michael H. Herzog, Gregory Francis, Aaron Clarke.
Medium identifier: OA
Year: 2019.
Publisher: Cham :, Springer International Publishing :
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Subject type: Search for this subject type MBGR, SCI049000, PSD
ISBN: 9783030034993
Description: 1st ed. 2019., XI, 142 p. 35 illus., 29 illus. in color., online resource.
Series: Learning Materials in Biosciences,
Tags: Molecular biology.; Biostatistics.; Science education.; Statistics .; Experiential research.; Behavioral sciences.; Molecular Medicine.; Science Education.; Statistics for Life Sciences, Medicine, Health Sciences.; Psychology Research.; Behavioral Sciences.
Participating parties: Search for this character SpringerLink (Online service) (contributor)
Media group: eBook