000			nam a22 4500
999			_c32855 _d32855
008			240219b xxu||||| |||| 00| 0 eng d
020			_a9783030034986
082			_a611.01816 _bHER
100			_aHerzog, Michael H
245			_aUnderstanding statistics and experimental design : how to not lie with statistics
260			_bSpringer, _aCham : _c2019
300			_axi, 142 p. ; _bill., _c24 cm
365			_b49.99 _c€ _d94.80
490			_aLearning Materials in Biosciences
504			_aIncludes bibliographical references.
520			_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.
650			_aQuestionable research practices
650			_aSimple probabilities
650			_aHypothesis testing
650			_aMeta-statistics
650			_aANOVA
650			_aT-test
650			_aLife science statistics
700			_aFrancis, Gregory
700			_aClarke, Aaron
942			_2ddc _cBK