MTU Cork Library Catalogue

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Introductory statistics for biology students / T. A. Watt.

By: Watt, T. A. (Trudy A.) [author.].
Material type: materialTypeLabelBookPublisher: London : Chapman & Hall, 1993Copyright date: ©1993Description: 185 pages : illustrations ; 24 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 0412471507 (paperback); 9780412471506 (paperback).Subject(s): BiometryDDC classification: 570.15195
Contents:
How long is a worm? -- Confidence intervals and computers -- Sampling -- Planning an experiment -- Accounting for background variation and constructing a model -- Analysing your results - is there anything there? -- Consider the treatments of the field -- Relating one thing to another -- What to do when data are skewed or are ranks or scores or are counts in categories -- Summarizing data from an observational study -- Your project -- Preparing a report. What's it all for?
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 00009273
Total holds: 0

Enhanced descriptions from Syndetics:

Introductory Statistics for Biology Students tackles fundamental ideas and experimental design using the minimum of mathematics and should prove useful for life science students. Examples are taken from a variety of disciplines, including zoology, plant science and agriculture, pharmacology and medicine. communicate the concepts of sampling and experimentation in a rigorous yet sympathetic style. uses numerous annotated illustrations from Minitab printouts to underline principles of data interpretation and analysis. (pharmacy, psychology, agriculture, medicine, veterinary science and dentistry). Postgraduates requiring a refresher in statistics should find it useful.

Includes bibliographical references (p. 178-181) and index..

How long is a worm? -- Confidence intervals and computers -- Sampling -- Planning an experiment -- Accounting for background variation and constructing a model -- Analysing your results - is there anything there? -- Consider the treatments of the field -- Relating one thing to another -- What to do when data are skewed or are ranks or scores or are counts in categories -- Summarizing data from an observational study -- Your project -- Preparing a report. What's it all for?

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