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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This book is a must read for those who want to understand better what they are reading in healthcare research. A Nonmathematical Approach provides a clear introduction to statistics for students in a wide range of fields, and a concise statistics refresher for scientists and professionals Comparing Two Paired Groups Preview — Intuitive Biostatistics by Harvey Motulsky.
The Rest of Statistics Comparing Survival Curves Books by Harvey Motulsky.
Learning about the odds of playing roulette etc. Paperbackpages.
Statistical Power ; Intuitive Biostatistics is both an introduction and review of statistics. Confidence Interval of a Mean Will go through them soon!
Nonlinear Regression ; Confidence Interval of a Proportion ; 5. To ask other readers questions about Intuitive Biostatisticsplease sign up. Nonparametric Methods ; Selected pages Title Page.
Jul 24, Rebecca rated it liked it. Or who writes rad reviews about Dragonball boring reality would say that this was a child of Motulsky, but I want to believe? Putting It All Together Bloggat om Intuitive Biostatistics. It doesn’t contain much technical details though, one would need a proper stat textbook for that.
Goodreads helps you keep track of books you want to read. New to this edition: Can a book be bad that features 4 or 5 XKCD comics?
I can’t say I’ve really “read” this. Comparing Survival Curves ; Oxford University Press Amazon. Essential Biostatistics Harvey Motulsky. Lists with This Book. Fitting Models to Data. Defines the terms response variable and explanatory variable. Begins with a new section to explain different kinds of variables. Trivia About Intuitive Biostat Graphing Continuous Data 8. Every commonly used term in biostatistics has been covered adequately for understanding.
No trivia or quizzes yet. Jerry Kim rated it really liked it Nov 19, The Ubiquity of Multiple Comparisons A Nonmathematical Guide to Statistical Thinking. Intuitive Biostatistics 4th Edition A nonmathematical guide to statistical thinking. Chapter 47 includes 49 multi-part problems, with answers fully discussed in Chapter 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.
Advanced Distance Sampling S.
Intuitive Biostatistics – Harvey Motulsky – Häftad () | Bokus
An excellent introduction to a wide breadth of statistics with a focus on 1 practical application and 2 the true theoretical basis and not 3 a bunch of math problems. This has something to do with alpha, right? The Gaussian Distribution ; Intuitive Biostatistics covers all the topics typically found in motulskg introductory statistics text, but with the emphasis on confidence intervals rather than P values, making it easier for students to understand both.
The other points out that we let our biases deter- mine how we interpret data. Designed to provide a nonmathematical introduction to biostatistics for medical and health science students, graduate students in the biological sciences, physicians, and researchers, this text explains statistical biodtatistics in non-technical language and focuses on explaining the proper scientific interpretation of statistical tests rather than on the mathematical logic o Designed to provide a nonmathematical introduction to biostatistics for medical and health science students, graduate students in the biological sciences, physicians, and researchers, this text explains statistical principles in non-technical language and focuses on explaining the proper scientific interpretation of statistical tests rather than on the mathematical logic of the tests themselves.