Understanding Statistics and Experimental Design
How to Not Lie with Statistics
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Beschreibung
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.
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.
Short and mathematical as simple as possible Provides a full account to the mostly used statistical tests Makes the key statistical concepts and reasoning readily accessible Teaches the reader the meta-statistical principles Offers a completely new way of judging the quality of scientific studies in science and daily life
Autor*in
Michael H. Herzog
Themen in »Understanding Statistics and Experimental Design«
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
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“Readers with little or no background in statistics will appreciate how these fundamental concepts are so well illustrated in this book to establish the solid foundation of probability and statistics.” (David Han, Mathematical Reviews, April, 2020)
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