MTU Cork Library Catalogue

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An introduction to biostatistics / Thomas Glover, Kevin Mitchell.

By: Glover, Thomas, 1945-.
Contributor(s): Mitchell, Kevin, 1953-.
Material type: materialTypeLabelBookPublisher: Long Grove, Ill. : McGraw-Hill, 2008Edition: 2nd ed.Description: x, 487 p. : ill. ; 24 cm. + pbk.ISBN: 9781577665809.Subject(s): BiometryDDC classification: 570.15195
Contents:
Introduction to data analysis -- Introduction to probability -- Probability distributions -- Sampling distributions -- Introduction to hypothesis testing -- One-Sample tests of hypothesis -- Tests of hypothesis involving two samples -- k-Sample tests of hypothesis: the analysis of variance -- Two-Factor analysis -- Linear regression and correlation -- Goodness of fit tests for categorical data.
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 00163166
Total holds: 0

Enhanced descriptions from Syndetics:

"Statistical analysis is increasingly being recognized as a fundamental quantitative skill for all biology students to master. This accessible text provides the necessary foundation for them to do just that. Glover and Mitchell emphasize the application of statistics using examples from many areas of the life sciences, but without sacrificing theoretical rigor. Along with standard parametric analyses, many examples of nonparametric analysis are incorporated to better simulate the situations that undergraduates encounter in their own research projects and to accommodate those readers with more modest backgrounds in mathematics. A large number of end-of-chapter problems provide ample opportunities to apply the concepts presented in the text."--BOOK JACKET.

Includes bibliographical references (p. 411).

Introduction to data analysis -- Introduction to probability -- Probability distributions -- Sampling distributions -- Introduction to hypothesis testing -- One-Sample tests of hypothesis -- Tests of hypothesis involving two samples -- k-Sample tests of hypothesis: the analysis of variance -- Two-Factor analysis -- Linear regression and correlation -- Goodness of fit tests for categorical data.

CIT Module STAT 9003 - Supplementary reading.

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