PRACTICAL STATISTICS FOR EXPERIMENTAL BIOLOGISTS

Wardlaw, A. C.

ISBN 10: 0471907383 / ISBN 13: 9780471907381

Verlag: John Wiley & Sons, 1989

Beschreibung

John Wiley & Sons, 1989, reprint. Paperback, 8vo, xi,290pp. Owner name, slightly worn and slanted. A fair copy. 0471907383/0.5uk . (Please note that our condition gradings are stricter than those of Abebooks and many other sellers. There may therefore be a discrepancy between this description and its listed condition grading).

Bestandsnummer des Verkäufers 383782

Bibliografische Details

• Titel: PRACTICAL STATISTICS FOR EXPERIMENTAL BIOLOGISTS
• Verlag: John Wiley & Sons
• Erscheinungsjahr: 1989
• Sprache: Englisch
• ISBN-10: 0471907383
• ISBN-13: 9780471907381
• Einband: Paperback
• Zustand: Good
• Zustand des Schutzumschlags: No jacket

Über diesen Titel

Inhaltsangabe

The design and analysis of biological experiments, and the subsequent successful handling of the large amounts of data generated requires a good working knowledge of statistical principles if worthwhile, reliable results are to be obtained. This readable, practical book presents those principles by careful analysis of familiar experiments, using as few sets of data as possible to yield maximum information. The reader is encouraged to pigeon-hole data into one of four basic categories: measurements, proportions, counts or ranks. Starting very simply, Professor Wardlaw first explains how to summarise, analyse and investigate the difference between groups. Moving on logically, and in well-defined stages he advises on progressively more complex analysis techniques, describing all of the standard methods for reduction of data and commonly used tests of significance; when appropriate, the reader is advised to consult a professional statistician. Written by a biologist with some 30 years experience of applying statistical procedures to experimental systems, the emphasis throughout is on practical problem solving; the central message being that this is most efficiently achieved by building statistical procedures into experiments at the beginning, rather than trying to use them as number crunching exercises at the end.