Student Solutions Manual for The Practice of Statistics in the Life Sciences

1. Picturing Distributions with Graphs
2. Describing Distributions with Numbers
3. Scatterplots and Correlation
4. Regression
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
25. Inference: Part III Review

Brigitte Baldi is a graduate of France's Ecole Normale Supérieure in Paris, France. 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 Université 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 A.B. from Princeton and his Ph.D. 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.

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