Practice of Statistics in the Life Sciences

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Brand: Macmillan International Higher Education

ISBN: 9781319187606

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Description

Knowing how to handle data is an important part of succeeding life sciences. But lets 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? Weve got you covered with SaplingPlus, a best-in-class online learning and homework tool.

Product Details

Brand Macmillan International Higher Education

Reference 67013

EAN13 9781319187606

ISBN 9781319187606

Data sheet

Publication date: 2018
Issue number: 4
Cover: hard cover
Pages count: 340

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.

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