This remarkably engaging text gives biology students an introduction to statistics. Based on a growing interest in statistics across the life science fields, The Practice of Statistics in the Life Sciences was developed from David Moore's The Basic Practice of Statistics and emphasizes statistical thinking and real data using up-to-date examples.
A Student Solutions Manual accompanies this text.
New to this edition:
- Over 30% New Exercises and Examples, representing the full range of contemporary biology (including physiology, brain and behavior, epidemiology, health and medicine, nutrition, ecology, and microbiology)
- Up-to-date Data Throughout to match the book’s modern examples and exercises
- Increased Emphasis on Technology throughout without sacrificing coverage of the printed tables-approach to solving several statistical tests
- New Feature, “This Chapter in Context,” links each chapter with coverage in previous chapters, providing a helpful continuity for the course
- New Discussion of Data Entry and Verification in Ch. 1, “Picturing Distributions with Graphs”
- Updated Media via StatsPortal, including
- Updated! LearningCurve—game-like adaptive quizzing motivates students to engage with the course, while reporting tools help instructors track progress and shape their course
- Revised! StatTutors—the new format for these interactive tutorials includes integrated assessment and assignability, along witha bright new interface
- Updated! Applets— Now in HTML5 to work across platforms, with a new assignable and assessment-oriented “Quiz Me” function
- New! Stepped Tutorials—algorithmically generated quizzes for each chapter, with step-by-step feedback
- Expanded! StatClips—including five new tutorials from creator Alan Dabney, Professor at Texas A&M University
- New! Video Tech Manuals—available online to help students use standard statistical software and technology while working with PSLS3e.
- CrunchIT!—W. H. Freeman’s online statistical software program based on R
1. Picturing Distributions with Graphs
2. Describing Distributions with Numbers
3. Scatterplots and Correlation
5. Two-Way Tables
6. Exploring Data
Part I Review
7. Samples and Observational Studies
8. Designing Experiments
9. Introducing Probability
10. General Rules of Probability
11. The Normal Distributions
12. Discrete Probability Distributions
13. Sampling Distributions
14. Introduction to Inference
15. Inference in Practice
16. From Exploration to Inference
Part II Review
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
Part III Review Optional Companion Chapters (available at www.whfreeman.com/psls3e)
26. More about Analysis of Variance: Follow-up Tests and Two-Way ANOVA
27. Nonparametric Tests
28. Multiple Regression
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Brigitte Baldi is a graduate of France's Ecole Normale Superieure. In her academic studies, she combined a love of math and quantitative analysis with wide interests in the life sciences. She studied math and biology in a double major and obtained a Masters in molecular biology and biochemistry and a Masters in cognitive sciences. She earned her Ph.D. in neuroscience from the Universite Paris VI studying multisensory integration in the brain and used computer simulations to study patterns of brain reorganization after lesion as a post-doctoral fellow at the California Institute of Technology. She then worked as a management consultant advising corporations before returning to academia to teach statistics. Dr. Baldi is currently a lecturer in the Department of Statistics at the University of California, Irvine. She is actively involved in statistical education. She was a local and later national advisor in the development of the statistics telecourse Statistically Speaking, replacing David Moore's earlier telecourse Against All Odds. She developed UCI's first online statistics courses and is interested in ways to integrate new technologies in the classroom to enhance participation and learning. She is currently serving as an elected member to the Executive Committee At Large of the section on Statistical Education of the American Statistical Association.
David S. Moore is Shanti S. Gupta Distinguished Professor of Statistics, Emeritus, at Purdue University, USA, and was 1998 president of the American Statistical Association. He received his AB from Princeton and his PhD from Cornell, both in mathematics. He has written many research papers in statistical theory and served on the editorial boards of several major journals. Professor Moore is an elected fellow of the American Statistical Association and of the Institute of Mathematical Statistics and an elected member of the International Statistical Institute. He has served as program director for statistics and probability at the National Science Foundation. In recent years, Professor Moore has devoted his attention to the teaching of statistics. He was the content developer for the Annenberg/Corporation for Public Broadcasting college-level telecourse Against All Odds: Inside Statistics and for the series of video modules Statistics: Decisions through Data, intended to aid the teaching of statistics in schools. He is the author of influential articles on statistics education and of several leading texts. Professor Moore has served as president of the International Association for Statistical Education and has received the Mathematical Association of America's national award for distinguished college or university teaching of mathematics.