Statistical Methods in Biology / Edition 3

Statistical Methods in Biology / Edition 3

by Norman T. J. Bailey M.A.
     
 

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ISBN-10: 052146983X

ISBN-13: 9780521469838

Pub. Date: 05/28/2004

Publisher: Cambridge University Press

Generations of biologists have relied on this useful book, which presents the basic concepts of statistics lucidly and convincingly. It recognizes that students must be aware of when to use standard techniques and how to apply the results they obtain. Because many biologists do not have a strong mathematical background, the arguments are gauged in terms that can be

Overview

Generations of biologists have relied on this useful book, which presents the basic concepts of statistics lucidly and convincingly. It recognizes that students must be aware of when to use standard techniques and how to apply the results they obtain. Because many biologists do not have a strong mathematical background, the arguments are gauged in terms that can be easily understood by those with only an elementary knowledge of algebra. Mathematical derivations are avoided and formulae are only used as a convenient shorthand. Although the subject is presented with great simplicity, the coverage is wide and will satisfy the needs of those working in many disciplines. New material for this third edition includes consideration of pocket electronic calculators and a special chapter devoted to a discussion of problems associated with numerical calculation, electronic calculators, and computers.

Product Details

ISBN-13:
9780521469838
Publisher:
Cambridge University Press
Publication date:
05/28/2004
Edition description:
Revised
Pages:
272
Product dimensions:
5.43(w) x 8.50(h) x 0.63(d)

Table of Contents

Preface; 1. Introduction; 2. Variability and frequency distributions; 3. Estimation, standard errors and confidence limits; 4. The basic idea of a significance test; 5. Simple significance tests based on the normal distribution; 6. The use of t-tests for small smaples; 7. Contingency tables and X2; 8. X2-tests of goodness-of-fit and homogeneity; 9. The correlation of measurements; 10. Regression analysis; 11. Simple experimental design and the analysis of variance; 12. Introduction to factorial experiments; 13. Random samples and random numbers; 14. Partial correlation and multiple regression; 15. Non-parametric and distribution-free tests; 16. Notes on numerical calculation, calculators and computers; Appendix tables; Index.

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