Statistics for the Life Sciences, Global Edition, 5th edition

Published by Pearson (July 7, 2015) © 2016

  • Myra L. Samuels Purdue University
  • Jeffrey A. Witmer Oberlin College
  • Andrew Schaffner California Polytechnic State University
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Access details

  • Instant access once purchased
  • Fulfilled by VitalSource

Title overview

For introductory undergraduate or graduate courses in statistics aimed at life science majors

The 5th Edition of Statistics for the Life Sciences uses authentic examples and exercises from a wide variety of life science domains to give statistical concepts personal relevance, enabling students to connect concepts with situations they will encounter outside the classroom. The emphasis on understanding ideas rather than memorising formulas makes the text ideal for students studying a variety of scientific fields: animal science, agronomy, biology, forestry, health, medicine, nutrition, pharmacy, physical education, zoology and more. In the 5th Edition, randomisation tests have been moved to the fore to motivate the inference procedures introduced in the text. There are no prerequisites for the text except elementary algebra.

Table of contents

  • UNIT I: DATA AND DISTRIBUTIONS
  • 1. Introduction
  • 2. Description of Samples and Populations
  • 3. Probability and the Binomial Distribution
  • 4. The Normal Distribution
  • 5. Sampling Distributions
  • UNIT II: INFERENCE FOR MEANS
  • 6. Confidence Intervals
  • 7. Comparison of Two Independent Samples
  • 8. Comparison of Paired Samples
  • UNIT III: INFERENCE FOR CATEGORICAL DATA
  • 9. Categorical Data: One-Sample Distributions
  • 10. Categorical Data: Relationships
  • UNIT IV: MODELING RELATIONSHIPS
  • 11. Comparing the Means of Many Independent Samples
  • 12. Linear Regression and Correlation
  • 13. A Summary of Inference Methods
  • Chapter Appendices
  • Chapter Notes
  • Statistical Tables
  • Answers to Selected Exercises

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