Understanding Statistics and Experimental Design : How to Not Lie with Statistics
Herzog, Michael H.
Understanding Statistics and Experimental Design : How to Not Lie with Statistics by Michael H. Herzog, Gregory Francis, Aaron Clarke. - 1st ed. 2019. - 1 recurso en línea (XI, 142 páginas) 35 ilustraciones, 29 ilustraciones - Learning Materials in Biosciences 2509-6125 Biomedical and Life Sciences (Springer-11642) .
Part 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.
Open Access
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.
9783030034993
10.1007/978-3-030-03499-3 doi
Estadística matemática
QA276 / 2019 EB
Understanding Statistics and Experimental Design : How to Not Lie with Statistics by Michael H. Herzog, Gregory Francis, Aaron Clarke. - 1st ed. 2019. - 1 recurso en línea (XI, 142 páginas) 35 ilustraciones, 29 ilustraciones - Learning Materials in Biosciences 2509-6125 Biomedical and Life Sciences (Springer-11642) .
Part 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.
Open Access
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.
9783030034993
10.1007/978-3-030-03499-3 doi
Estadística matemática
QA276 / 2019 EB