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Practical statistics for experimental biologists / A. C. Wardlaw.

By: Wardlaw, A. C [author.].
Material type: materialTypeLabelBookPublisher: 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: 570.15195
Contents:
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.
Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
General Lending MTU Bishopstown Library Lending 570.15195 (Browse shelf(Opens below)) 1 Available 00013085
Total holds: 0

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.

Reviews provided by Syndetics

CHOICE Review

The contention that there are lies, damn lies, and statistics is the sort of guilt by association that Wardlaw seeks to dispel with this modest book. Wardlaw feels that his colleagues are suspicious of statistics because they do not understand what assumptions are being made when a particular statistic is calculated nor do they understand what sort of conclusions can be validly obtained from statistics. He addresses these twin problems in some detail for a number of commonly used statistical tests. For each test he discusses the appropriate null hypothesis and when the statistic allows rejection of this hypothesis. Wardlaw is aware that many of his colleagues are uneasy with mathematics, so he avoids mathematical derivations of the statistics. He also tries to avoid having to look at a complicated formula and seeing where to plug in the data, by giving tabular forms and step-by-step instructions on how to fill in the various parts of a table. To avoid arithmetic errors he advises the use of a hand calculator. Although this book was not written for undergraduates, it can be read profitably by undergraduates who need to know that they can use statistics without understanding high-level mathematics.-P. Cull, Oregon State University

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