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25 Partner Warehouse Health and Medicine- Reference

Statistics for the Life Sciences (4TH 12 Edition)

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Statistics for the Life Sciences (4TH 12 Edition) Cover

 

Synopses & Reviews

Please note that used books may not include additional media (study guides, CDs, DVDs, solutions manuals, etc.) as described in the publisher comments.

Publisher Comments:

Statistics for the Life Sciences, Fourth Edition, covers the key concepts of statistics as applied to the life sciences, while incorporating the tools and themes of modern data analysis. This text uses an abundance of real data in the exercises and examples, and minimizes computation, so that readers can focus on the statistical concepts and issues, not the mathematics. Basic algebra is assumed as a prerequisite.

About the Author

Jeff Witmer is a PhD statistician and Professor at Oberlin College. He is a Fellow of the American Statistical Association, previous Chair of the Section on Statistical Education of ASA, previous editor of STATS magazine, and a member of the editorial board of the Consortium for the Advancement of Undergraduate Statistics Education. His work has been supported by grants from the National Science Foundation and the National Institutes of Health.

 

Andrew Schaffner is a PhD statistician and Professor at California Polytechnic State University—San Luis Obispo. Additionally, he serves as the staff research statistician for both the Cal Poly Environmental Biotechnology Institute and the Morro Bay National Estuary Program. Organizations that support his research include the National Institutes of Health, United States Department of Agriculture, and the US Environmental Protection Agency.

Table of Contents

1. Introduction

2. Description of Samples and Populations

3. Probability, and the Binomial Distribution

4. The Normal Distribution

5. Sampling Distributions

6. Confidence Intervals

7. Comparison of Two Independent Samples

8. Comparison of Paired Samples

9: Categorical Data: One-Sample Distributions

10. Categorical Data: Relationships

11. Comparing the Means of Many Independent Samples

12. Linear Regression and Correlation13. A Summary of Inference Methods

Product Details

ISBN:
9780321652805
Author:
Samuels, Myra L.
Publisher:
Pearson
Author:
Schaffner, Andrew
Author:
Samuels, Myra L.
Author:
Witmer, Jeffrey A.
Subject:
Statistics
Subject:
Science Reference-General
Copyright:
Publication Date:
20101227
Binding:
HARDCOVER
Language:
English
Pages:
672
Dimensions:
9.9 x 8 x 1.1 in 1229 gr

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Related Subjects

Health and Self-Help » Health and Medicine » General
Health and Self-Help » Health and Medicine » Reference
Reference » Science Reference » General
Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Probability and Statistics » Statistics

Statistics for the Life Sciences (4TH 12 Edition) Used Hardcover
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Product details 672 pages Addison Wesley Longman - English 9780321652805 Reviews:
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