An Introduction To Experimental Design And Statistics For Biology - Heath, David; - Prospero Internetes Könyváruház

 
A termék adatai:

ISBN13:9781857281316
ISBN10:1857281314
Kötéstípus:Keménykötés
Terjedelem:384 oldal
Méret:254x191 mm
Súly:453 g
Nyelv:angol
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Témakör:

An Introduction To Experimental Design And Statistics For Biology

 
Kiadás sorszáma: 1
Kiadó: CRC Press
Megjelenés dátuma:
 
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Kiadói listaár:
GBP 75.99
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39 894 Ft (37 995 Ft + 5% áfa)
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35 905 (34 196 Ft + 5% áfa )
Kedvezmény(ek): 10% (kb. 3 989 Ft)
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Rövid leírás:

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.

Hosszú leírás:
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.
Tartalomjegyzék:
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.