Product details:
| ISBN13: | 9781857281316 |
| ISBN10: | 1857281314 |
| Binding: | Hardback |
| No. of pages: | 384 pages |
| Size: | 254x191 mm |
| Weight: | 453 g |
| Language: | English |
| 0 |
Category:
An Introduction To Experimental Design And Statistics For Biology
Edition number: 1
Publisher: CRC Press
Date of Publication: 26 October 1995
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Short description:
This illustrated textbook for biologists provides a refreshingly clear and authoritative introduction to the key ideas of sampling, experimental design, and statistical analysis. The author presents statistical concepts through common sense, non-mathematical explanations and diagrams. These are followed by the relevant formulae and illustrated by worked examples. The examples are drawn from all areas of biology, from biochemistry to ecology and from cell to animal biology. The book provides everything required in an introductory statistics course for biology undergraduates, and it is also useful for more specialized undergraduate courses in ecology, botany, and zoology.
Long description:
This illustrated textbook for biologists provides a refreshingly clear and authoritative introduction to the key ideas of sampling, experimental design, and statistical analysis. The author presents statistical concepts through common sense, non-mathematical explanations and diagrams. These are followed by the relevant formulae and illustrated by worked examples. The examples are drawn from all areas of biology, from biochemistry to ecology and from cell to animal biology. The book provides everything required in an introductory statistics course for biology undergraduates, and it is also useful for more specialized undergraduate courses in ecology, botany, and zoology.
Table of Contents:
Why Biologists Need Experimental Design and Statistics. Habitat Choice in Woodlice: Some Basic Ideas in Experimental Design and Statistics. Variables, Populations and Samples. Describing Samples. Variables and Models. Tests on a Single Sample: Do the Data Fit the Model? Single Samples: the Reliability of Estimates. Tests on a Single Sample: Association and Correlation Between Two Variables. Test Using Two Independent Samples: Are the Two Populations Different? Tests for Paired Samples. Tests Using Three or More Samples: Are Three or More Populations Different? Checklists and a Key to Statistical Tests.