Intuitive Biostatistics takes a non-technical, non-quantitative approach to statistics and emphasizes interpretation of statistical results rather than. Intuitive Biostatistics has ratings and 12 reviews. Bastian said: I read this book after reading the glowing review done by Philipp and he’s right in. Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking. Front Cover · Harvey Motulsky. Oxford University Press, – Medical – pages.
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Confidence Interval of Infuitive Data 6. My library Help Advanced Book Search. A Nonmathematical Guide to Statistical Thinking. Intuitive Biostatistics, Completely Revised Second Edition, provides a clear introduction to statistics for undergraduate and graduate students and also serves as a statistics refresher for working scientists.
Graphing Continuous Data ; 8.
Selected pages Title Page. I am particularly impressed by the chapters on multiple comparisons.
A Nonmathematical Guide to Statistical Thinking. Intuitive Biostatistics 4th Edition A nonmathematical guide to statistical thinking.
The text is also an excellent resource for professionals in labs, acting as a conceptually oriented and accessible biostatistics guide. Oct 08, Alexander Shearer rated it it was amazing.
Intuitive Biostatistics – Harvey Motulsky – Häftad () | Bokus
This chapter on case-control studies has been substantially rewritten to clarify core concepts. I read this book after reading the glowing review done by Philipp and he’s right in almost everything he boistatistics.
The Lognormal Distribution and Geometric Mean Prospective and Experimental Studies ; Statistical Significance and Hypothesis Testing ; Preview — Intuitive Biostatistics by Harvey Motulsky.
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Or who writes rad reviews about Dragonball boring reality would say that this was a child of Motulsky, but I want to believe? What are possible mistakes? Introducing Confidence Intervals 4. I can’t say I’ve really “read” this. The Lognormal Distribution and Geometric Mean ; Defines the terms response variable and explanatory variable. Mathematics of Evolution and Phylogeny Olivier Gascuel.
Intuitive Biostatistics covers all the topics typically found in an introductory statistics text, but with the emphasis on confidence intervals rather than P values, making it easier for students to understand both. Choosing a Statistical Test ; Interpreting a Result That is Statistically Significant ; That is something I The authors point out early on that this is a statistics book for scientists, not mathematicians.
Will go through them soon! I think that when I took stats during my university courses, the focus was all wrong. The book is a pretty quick read I would say and it introduces so many important things that I guess it will be a great help in doing the actual cramming, because you a much better idea on why certain details are important and where they enter the game. By emphasizing interpretation rather than calculation, this text provides a clear and virtually painless introduction to statistical principles for those students who will need to use statistics constantly in their work.
Chapter 35 shows how statistical hypothesis testing can be understood as comparing the fits of alternative models.
Points out that r is not a percentage. Individual comparisons and even a Bonferroni correction are often inadequate. Putting It All Together