Minggu, 28 September 2014

Essential Biostatistics: A Nonmathematical Approach, by Harvey Motulsky

Essential Biostatistics: A Nonmathematical Approach, by Harvey Motulsky

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Essential Biostatistics: A Nonmathematical Approach, by Harvey Motulsky

Essential Biostatistics: A Nonmathematical Approach, by Harvey Motulsky



Essential Biostatistics: A Nonmathematical Approach, by Harvey Motulsky

Ebook PDF Essential Biostatistics: A Nonmathematical Approach, by Harvey Motulsky

Essential Biostatistics teaches students how to interpret statistical results by explaining the ideas behind statistics in nonmathematical terms. Rather than replacing longer, more traditional mathematical textbooks, this text is designed to supplement them.With its engaging and conversational tone, this unique book provides a clear introduction to statistics for students in a wide range of fields, and also serves as a statistics refresher for working scientists. It is especially useful for those students in health-science related fields who have no background in biostatistics. KEY FEATURES

  • Explains the ideas of statistics without describing the mathematical underpinnings 
  • Designed for the many students and scientists who prefer verbal explanations over mathematical proofs 
  •  Focuses on how to avoid falling into common conceptual traps 
  • Works to point out ambiguities in potentially confusing terms and phrases 
  • Covers a wide breadth of topics in a quick and concise manner

Essential Biostatistics: A Nonmathematical Approach, by Harvey Motulsky

  • Amazon Sales Rank: #267662 in Books
  • Published on: 2015-06-30
  • Original language: English
  • Number of items: 1
  • Dimensions: 6.00" h x .20" w x 9.10" l, .0 pounds
  • Binding: Paperback
  • 208 pages
Essential Biostatistics: A Nonmathematical Approach, by Harvey Motulsky

Review "Motulsky seems to have done the impossible, again.  He has taken his already great textbook and extracted the bare-bones necessary for the reader to enjoy a lively, easy-to-read introduction to the concepts of biostatistics.  In addition, Motulsky provides the reader with a discussion of common mistakes and how to avoid them.  Essential Biostatistics should be required reading for all beginning biology or biostatistics students.  It provides foundational material for interpreting statistical analysis."--Philip Hejduk, University of Texas at Arlington"The author does a great job explaining WHY we use statistics rather than getting bogged down explaining HOW we calculate statistics.  I find it refreshing to step back from the calculations to see the larger context why we use statistics in science."--Dean W. Coble, Stephen F. Austin State University"I really like the clear and humorous style, the wealth of examples, and the discussions of the limits and pitfalls. This is a wonderful book."--Naji Younes, George Washington University"Essential Biostatistics distills the essence of university-level biostatistics topics in accessible, concise language that is engaging and thought-provoking. This text would be an excellent companion to a traditional biostatistics book."--Derek Webb, Bemidji State University

"The author does a great job explaining why we use statistics rather than getting bogged down explaining how we calculate statistics. I find it refreshing to step back from the calculations to see the larger context of why we use statistics in science."--Dean W. Coble, Stephen F. Austin State University

"I really like the clear and humorous style, the wealth of examples, and the discussions of the limits and pitfalls. This is a wonderful book."--Naji Younes, George Washington University

From the Author Table of Contents 1. Statistics and Probability are not Intuitive 2. The Complexities of Probability  3. From Sample to Population  4. Confidence Intervals  5. Types of Variables  6. Graphing Variability  7. Quantifying Variation  8. The Gaussian Distribution  9. The Lognormal Distribution and Geometric Mean 10. Confidence Interval for a Mean 11. Error Bars 12. Comparing Groups with Confidence Intervals 13. Comparing Groups with P Values 14. Statistical Significance and Hypothesis Testing 15. Interpreting a Result That is (Or is Not) Statistically Significant 16. How Common are Type I Errors? 17. Multiple Comparisons 18. Statistical Power and Sample Size 19. Commonly Used Statistical Tests 20. Normality Tests 21. Outliers 22. Correlation 23. Simple Linear Regression 24. Nonlinear, Multiple, and Logistic Regression 25. Common Mistakes to Avoid When Interpreting Published Statistics 26. Review

About the Author Harvey Motulsky is the founder and CEO of GraphPad Software, Inc.


Essential Biostatistics: A Nonmathematical Approach, by Harvey Motulsky

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Most helpful customer reviews

4 of 4 people found the following review helpful. Another outstanding conceptual book on Statistics By Paulo C. Rios Jr. The author has managed to produce another brilliant conceptual book on statistics that is helpful to anyone learning statistics or making a review. It is also a great complement to those learning from more conventional textbooks. There are many insights and the coverage is excellent, including topics often left to more advanced books such as non-linear regression. However, two remarks must be made. It is not only good for biostatistics, but for statistics in general. The second is a warning. This book is a shorter version of the outstanding book "Intuitive Biostatistics" by the same author with one completely new chapter added. It is a welcome addition because its price is 25% of the longer version. It also makes the author's excellent treatment available to a wider audience. But readers of the other book will likely not need this one.

0 of 0 people found the following review helpful. A good way to think about Statistics By Julien Hoffman An easily understood and eminently sensible approach to Statistics

See all 2 customer reviews... Essential Biostatistics: A Nonmathematical Approach, by Harvey Motulsky


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Essential Biostatistics: A Nonmathematical Approach, by Harvey Motulsky
Essential Biostatistics: A Nonmathematical Approach, by Harvey Motulsky

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