Essential Biostatistics: A Nonmathematical Approach

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9780199365067: Essential Biostatistics: A Nonmathematical Approach
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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

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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.

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Book Description Oxford University Press, United Kingdom, 2015. Paperback. Condition: New. Language: English . Brand New Book. With its engaging and conversational tone, Essential Biostatistics: 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 who need to interpret statistical results. It explains the ideas behind statistics in nonmathematical terms, offers perspectives on how to interpret published statistical results, and points out common conceptual traps to avoid. It can be used as a stand-alone text or as a supplement to a traditional statistics textbook. Seller Inventory # AAC9780199365067

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Book Description Oxford University Press, United Kingdom, 2015. Paperback. Condition: New. Language: English . Brand New Book. With its engaging and conversational tone, Essential Biostatistics: 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 who need to interpret statistical results. It explains the ideas behind statistics in nonmathematical terms, offers perspectives on how to interpret published statistical results, and points out common conceptual traps to avoid. It can be used as a stand-alone text or as a supplement to a traditional statistics textbook. Seller Inventory # AAC9780199365067

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Book Description Softcover. Condition: New. With its engaging and conversational tone, Essential Biostatistics: 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 who need to interpret statistical results. It explains the ideas behind statistics in nonmathematical terms, offers perspectives on how to interpret published statistical results, and points out common conceptual traps to avoid. It can be used as a stand-alone text or as a supplement to a traditional statistics textbook. Seller Inventory # 3679909

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