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Practice of Statistics in the Life Sciences

Practice of Statistics in the Life Sciences


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About the Book

Practice of Statistics in the Life Sciences effectively teaches essential statistical concepts and fosters an understanding of how the principles apply to the analysis of data across life science fields. Now available with Macmillan’s online learning platform Achieve, The Practice of Statistics in the Life Sciences gives biology students an introduction to statistical practice all their own. It covers essential statistical topics with examples and exercises drawn from across the life sciences, including the fields of nursing, public health, and allied health. Based on David Moore’s The Basic Practice of Statistics, PSLS mirrors that #1 bestseller’s signature emphasis on statistical thinking, real data, and what statisticians actually do. Achieve for The Practice of Statistics in the Life Sciences connects the problem-solving approach and real-world examples in the book to rich digital resources that foster further understanding and application of statistics. Assets in Achieve support learning before, during, and after class for students, while providing instructors with class performance analytics in an easy-to-use interface.

Table of Contents:
Part I: Collecting and Exploring Data.- 1. Picturing Distributions with Graphs.- 2. Describing Quantitative Distributions with Numbers.- 3. Scatterplots and Correlation.- 4. Regression.-  5.Two-Way Tables.- 6. Samples and Observational Studies.- 7. Designing Experiments.- 8. Collecting and Exploring Data: Part I Review.- Part II: From Chance to Inference.- 9. Essential Probability Rules.- 10. Independence and Conditional Probabilities*.- 11. The Normal Distributions.- 12. Discrete Probability Distributions*.- 13. Sampling Distributions.- 14. Introduction to Inference.- 15. Inference in Practice.- 16. From Chance to Inference: Part II Review.- Part III: Statistical Inference.- 17. Inference about a Population Mean.- 18. Comparing Two Means.- 19. Inference about a Population Proportion.- 20. Comparing Two Proportions.- 21. The Chi-Square Test for Goodness of Fit.- 22. The Chi-Square Test for Two-Way Tables.- 23. Inference for Regression.- 24. One-Way Analysis of Variance: Comparing Several Means.- 25. Statistical Inference: Part III Review.- Part IV: Optional Companion Chapters.- 26. More about Analysis of Variance: Follow-up Tests and Two-Way ANOVA.- 27. Nonparametric Tests.- 28. Multiple and Logistic Regression.

About the Author :
Brigitte Baldi is a lecturer in the Department of Statistics at the University of California, Irvine. She was a local and later national advisor in the development of the statistics telecourse Statistically Speaking, and developed UCI's first online statistics courses. David S. Moore is Shanti S. Gupta Distinguished Professor of Statistics, Emeritus, at Purdue University and was 1998 president of the American Statistical Association. He received his A.B. from Princeton and his Ph.D. from Cornell, both in mathematics.


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Product Details
  • ISBN-13: 9781319188252
  • Publisher: MacMillan Learning
  • Publisher Imprint: W.H.Freeman & Co Ltd
  • Edition: Revised edition
  • No of Pages: 340
  • Returnable: Y
  • ISBN-10: 1319188257
  • Publisher Date: 02 Mar 2018
  • Binding: Digital (delivered electronically)
  • Language: English
  • Returnable: Y
  • Returnable: Y


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