TY  - BOOK
AU  - Herzog,Michael H.
AU  - Francis,Gregory
AU  - Clarke,Aaron
ED  - SpringerLink (Online service)
TI  - Understanding Statistics and Experimental Design : How to Not Lie with Statistics 
T2  - Learning Materials in Biosciences,
SN  - 9783030034993
AV  - QH506 
U1  - 611.01816 23
PY  - 2019///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Molecular biology
KW  - Biostatistics
KW  - Science education
KW  - Statistics 
KW  - Experiential research
KW  - Behavioral sciences
KW  - Molecular Medicine
KW  - Science Education
KW  - Statistics for Life Sciences, Medicine, Health Sciences
KW  - Psychology Research
KW  - Behavioral Sciences
N1  - 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
N2  - 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
UR  - https://doi.org/10.1007/978-3-030-03499-3
ER  -