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Practice of Statistics in the Life Sciences

Brigitte Baldi David S. Moore



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W.H.Freeman & Co Ltd
02 March 2018
Knowing how to handle data is an important part of succeeding life sciences. But let's face it: this can be an area students find difficult. Enter Practice of Statistics in the Life Sciences. This book teaches students the essentials of statistics, helping them to understand important concepts. Using case studies from the worlds of biology, ecology, nursing and health sciences, the book brings statistics to life. Teaching large student numbers and need extra technology support? We've got you covered with SaplingPlus, a best-in-class online learning and homework tool.
By:   Brigitte Baldi, David S. Moore
Imprint:   W.H.Freeman & Co Ltd
Country of Publication:   United States
Edition:   4th ed. 2018
Dimensions:   Height: 235mm,  Width: 155mm, 
ISBN:   9781319187606
ISBN 10:   1319187609
Pages:   340
Publication Date:   02 March 2018
Audience:   College/higher education ,  A / AS level ,  Further / Higher Education
Format:   Hardback
Publisher's Status:   Active
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.

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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