Understanding Statistics and Experimental Design How to Not Lie with Statistics

• Auteur principal: Herzog, Michael H. (auth)
• Autres auteurs: Francis, Gregory (auth), Clarke, Aaron (auth)
• Format: Électronique Chapitre de livre
• Langue: anglais
• Publié: Cham Springer Nature 2019
• Collection: Learning Materials in Biosciences
• Sujets: Psychological methodology; Teaching of a specific subject; Medical research; Probability & statistics; Life sciences: general issues; Animal behaviour; Medicine; Molecular biology; Biostatistics; Science education; Statistics; Experiential research; Behavioral sciences
• Accès en ligne: DOAB: download the publication; DOAB: description of the publication

Résumé

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.

Description matérielle

1 electronic resource (142 p.)

ISBN

978-3-030-03499-3

Accès

Open Access