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Titlebook: Understanding Statistics and Experimental Design; How to Not Lie with Michael H. Herzog,Gregory Francis,Aaron Clarke Textbook‘‘‘‘‘‘‘‘ 2019

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Learning Materials in Bioscienceshttp://image.papertrans.cn/u/image/941665.jpg
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2509-6125 and reasoning readily accessible.Teaches the reader the metThis 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
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Experimental Design and the Basics of Statistics: Signal Detection Theory (SDT)nfuses two variables, namely, sensitivity and criterion, and should therefore be used with care. We will introduce the sensitivity measure ., which turns out to be a crucial term in much of statistics.
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Meta-analysististical output of each experiment itself might make perfect sense, sometimes the combination of data across experiments indicates problems. How likely is it that four experiments with a small effect and a small sample size all lead to significant results? We will show it is often very unlikely. As
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