Statistics for the life sciences

Author(s)

Bibliographic Information

Statistics for the life sciences

Myra L. Samuels, Jeffrey A. Witmer, Andrew A. Schaffner

(Pearson international edition)

Pearson, c2012

4th ed

Available at  / 1 libraries

Search this Book/Journal

Note

includes index

Description and Table of Contents

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.

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 Correlation 13. A Summary of Inference Methods

by "Nielsen BookData"

Related Books: 1-1 of 1

Details

  • NCID
    BB15529586
  • ISBN
    • 9780321709677
  • Country Code
    us
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    Boston ; Tokyo
  • Pages/Volumes
    xi, 654 p.
  • Size
    26 cm
  • Parent Bibliography ID
Page Top