01837nam 2200301 4500999001700000008004100017020001800058082001900076100002200095245008700117260002800204300003100232365002100263490003800284504004100322520084000363650003601203650002501239650002301264650002001287650001001307650001101317650002801328700002101356700001801377942001201395952012801407 c32855d32855240219b xxu||||| |||| 00| 0 eng d a9783030034986 a611.01816bHER aHerzog, Michael H aUnderstanding statistics and experimental design : how to not lie with statistics bSpringer,aCham :c2019 axi, 142 p. ;bill.,c24 cm b49.99cÈd94.80 aLearning Materials in Biosciences aIncludes bibliographical references. aThis 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. aQuestionable research practices aSimple probabilities aHypothesis testing aMeta-statistics aANOVA aT-test aLife science statistics aFrancis, Gregory aClarke, Aaron 2ddccBK 00102ddc406611_018160000000000_HER70943083aDAIICTbDAIICTd2024-02-12g4739.05o611.01816 HERp034734r2024-02-19yBK