Statistical Methods in Biology. Third (3rd) Edition.

Bailey, Norman T. J.

ISBN 10: 052146983X / ISBN 13: 9780521469838

Editore: Cambridge University Press, 2000

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Softcovers; in very good condition.

Codice articolo 036685

Dati bibliografici

• Titolo: Statistical Methods in Biology. Third (3rd) Edition.
• Editore: Cambridge University Press
• Data di pubblicazione: 2000
• Lingua: Inglese
• ISBN 10: 052146983X
• ISBN 13: 9780521469838
• Rilegatura: Soft cover
• Edizione: 3rd Edition.
• Condizione: Very Good
• Tipo di libro: Book
• Cataloghi dei venditori:
  • Botany
  • Zoology - Vertebrate
  • Zoology - Invertebrate

Descrizione articolo

Riassunto

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.

Contenuti

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.