Understanding Statistics and Experimental Design
Publication year: 2019
: 978-3-030-03499-3
This 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.
: Biomedical and Life Sciences, Molecular Medicine, Biostatistics, Science Education, Health Sciences, Psychology Research, Behavioral Sciences, Experimental design, statistics in life sciences, concepts of statistics, T-test, ANOVA, PCA, correlations, meta-statistics, reproduction, hypothesis testing, metrics, simple probabilities, questionable research practices
