
Statistical Methods in Biology
Norman T. J. Bailey(Author)
Cambridge University Press
3rd Edition
Published on 26. January 1995
Book
Hardback
269 pages
978-0-521-47032-2 (ISBN)
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Description
Generations of biologists have relied upon this useful book, which presents the basic concepts of statistics so lucidly and convincingly. It recognises that students must be aware of when to use standard techniques and how to apply the results they obtain. Since many biologists do not have a strong mathematical background, the arguments are gauged in terms which 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 is devoted to a discussion of the problems associated with numerical calculation, electronic calculators and computers.
More details
Edition
3rd Revised edition
Language
English
Place of publication
Cambridge
United Kingdom
Target group
Professional and scholarly
Edition type
Revised edition
Dimensions
Height: 223 mm
Width: 143 mm
Thickness: 20 mm
Weight
434 gr
ISBN-13
978-0-521-47032-2 (9780521470322)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
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New editions

Norman T. J. Bailey
Statistical Methods in Biology
Book
01/1995
3rd Edition
Cambridge University Press
€87.30
Shipment within 15-20 days
Additional editions

Norman T. J. Bailey
Statistical Methods in Biology
Book
01/1995
3rd Edition
Cambridge University Press
€87.30
Shipment within 15-20 days
Content
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.