
Statistics for the Life Sciences
International Edition
Pearson (Publisher)
4th Edition
Published on 20. January 2011
Book
Paperback/Softback
672 pages
978-0-321-70967-7 (ISBN)
Article exhausted; check for reprint
Description
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.
More details
Edition
4th edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Adult education
Dimensions
Height: 254 mm
Width: 204 mm
Thickness: 22 mm
Weight
1080 gr
ISBN-13
978-0-321-70967-7 (9780321709677)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions

Myra L. Samuels | Jeffrey A. Witmer | Andrew Schaffner
Statistics for the Life Sciences: Pearson New International Edition
Book
07/2013
4th Edition
Pearson Education Limited
€85.60
Article exhausted; check for reprint
Previous edition

Book
01/2003
3rd Edition
Pearson
€71.78
Article exhausted; check for reprint
Persons
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.
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.
Content
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 Correlation
13. A Summary of Inference Methods
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 Correlation
13. A Summary of Inference Methods