LEADER 03672 am 22007213u 450 001 9910349447103321 005 20230125214056.0 010 $a3-030-03499-2 024 7 $a10.1007/978-3-030-03499-3 035 $a(CKB)4100000009046513 035 $a(DE-He213)978-3-030-03499-3 035 $a(MiAaPQ)EBC5920949 035 $a(Au-PeEL)EBL5920949 035 $a(OCoLC)1117773317 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/34734 035 $a(PPN)242824897 035 $a(EXLCZ)994100000009046513 100 $a20190813d2019 uy 0 101 0 $aeng 135 $aurnn#---mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aUnderstanding statistics and experimental design $ehow to not lie with statistics /$fMichael H. Herzog, Gregory Francis, Aaron Clarke 205 $a1st edition 2019. 210 $aCham$cSpringer Nature$d2019 210 1$aCham :$cSpringer International Publishing ,$d2019. 215 $a1 online resource (XI, 142 p. 35 illus., 29 illus. in color.) 225 1 $aLearning Materials in Biosciences,$x2509-6125 311 $a3-030-03498-4 327 $aPart I -- Basic Probability Theory -- Experimental Design and the Basics of Statistics: Signal detection Theory (SDT) -- The Core Concept of Statistics -- Variations on the t-test -- PART II -- The Multiple Testing Problem -- ANOVA -- Experimental design: Model Fits, Power, and Complex Designs -- Correlation -- PART III -- Meta-analysis -- Understanding replication -- Magnitude of excess success -- Suggested improvements and challenges. 330 $aThis open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I makes key concepts in statistics readily clear. Parts I and II give an overview of the most common tests (t-test, ANOVA, correlations) and work out their statistical principles. Part III provides insight into meta-statistics (statistics of statistics) and demonstrates why experiments often do not replicate. Finally, the textbook shows how complex statistics can be avoided by using clever experimental design. Both non-scientists and students in Biology, Biomedicine and Engineering will benefit from the book by learning the statistical basis of scientific claims and by discovering ways to evaluate the quality of scientific reports in academic journals and news outlets. 410 0$aLearning Materials in Biosciences,$x2509-6125 606 $aMolecular biology 606 $aBiostatistics 606 $aScience education 606 $aStatistics  606 $aExperiential research 606 $aBehavioral sciences 610 $aMedicine 610 $aMolecular biology 610 $aBiostatistics 610 $aScience education 610 $aStatistics  610 $aExperiential research 610 $aBehavioral sciences 615 0$aMolecular biology. 615 0$aBiostatistics. 615 0$aScience education. 615 0$aStatistics . 615 0$aExperiential research. 615 0$aBehavioral sciences. 676 $a611.01816 700 $aHerzog$b Michael A$4aut$4http://id.loc.gov/vocabulary/relators/aut$01256580 702 $aFrancis$b Gregory$g(Gregory S.)$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aClarke$b Aaron$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910349447103321 996 $aUnderstanding statistics and experimental design$92912643 997 $aUNINA