Practical statistics for experimental biologists / A. C. Wardlaw.
By: Wardlaw, A. C [author.].
Material type: BookPublisher: Chichester : Wiley, 1993Copyright date: ©1985Description: x, 290 pages : illustrations ; 23 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 0471907383 (paperback); 9780471907381 (paperback).Subject(s): Biometry | Biology -- Experimental -- Statistical methodsDDC classification: 570.15195Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Item holds |
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General Lending | MTU Bishopstown Library Lending | 570.15195 (Browse shelf(Opens below)) | 1 | Available | 00013085 |
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Enhanced descriptions from Syndetics:
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.
Includes bibliographical references and index.
A simple laboratory exercise -- How to condense the bulkiness of data -- Is that difference significant? -- More about differences -- How to deal with proportion data -- How to deal with count data -- Design of experiments and introduction to analysis of variance -- Experiment design and analysis continued -- Correlation, regression and line-fitting through graph points: standard curves -- Parallel-line and slope-ratio assays.