We specialize in hard to find items
All Categories
Essential Biostatistics: A Nonmathematical Approach
Share Tweet
*Price and Stocks may change without prior notice
*Packaging of actual item may differ from photo shown
- Electrical items MAY be 110 volts.
- 7 Day Return Policy
- All products are genuine and original
About Essential Biostatistics: A Nonmathematical Approach
Product Description 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 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 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.
