Understanding Statistics and Experimental Design
How to Not Lie with Statistics
Author(s)
Herzog, Michael H.
Francis, Gregory
Clarke, Aaron
Language
EnglishAbstract
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.
Keywords
Medicine; Molecular biology; Biostatistics; Science education; Statistics; Experiential research; Behavioral sciences; TextbookDOI
10.1007/978-3-030-03499-3Publisher
Springer NaturePublisher website
https://www.springernature.com/gp/products/booksPublication date and place
Cham, 2019Series
Learning Materials in Biosciences,Classification
Psychological methodology
Teaching of a specific subject
Medical research
Probability and statistics
Life sciences: general issues
Ethology and animal behaviour