Statistics Explained - Steve McKillup

Statistics Explained

An Introductory Guide for Life Scientists

(Autor)

Buch | Softcover
280 Seiten
2005
Cambridge University Press (Verlag)
978-0-521-54316-3 (ISBN)
31,15 inkl. MwSt
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Statistics Explained is a reader-friendly introduction to experimental design and statistics for undergraduate students in the life sciences, particularly those without a strong mathematical background. Topics are explained clearly and succinctly with minimum use of formulae and terminology, making this book essential reading for all bioscience undergraduates.
Statistics Explained is a reader-friendly introduction to experimental design and statistics for undergraduate students in the life sciences, particularly those who do not have a strong mathematical background. Hypothesis testing and experimental design are discussed first. Statistical tests are then explained using pictorial examples and a minimum of formulae. This class-tested approach, along with a well-structured set of diagnostic tables will give students the confidence to choose an appropriate test with which to analyse their own data sets. Presented in a lively and straight-forward manner, Statistics Explained will give readers the depth and background necessary to proceed to more advanced texts and applications. It will therefore be essential reading for all bioscience undergraduates, and will serve as a useful refresher course for more advanced students.

Steve McKillup is an Associate Professor of Biology in the School of Biological and Environmental Sciences at Central Queensland University, Rockhampton.

Preface; 1. Introduction; 2. 'Doing Science' - hypotheses, experiments and disproof; 3. Collecting and displaying data; 4. Introductory concepts of experimental design; 5. Probability helps you make a decision about your results; 6. Working from samples - data, populations and statistics; 7. Normal distributions - test for comparing the means of one or two samples; 8. Type 1 and Type 2 error, power and sample size; 9. Single factor analysis of variance; 10. Multiple comparisons after ANOVA; 11. Two factor analysis of variance; 12. Important assumptions of analysis of variance: transformations and a test for equality of variances; 13. Two factor analysis of variance without replication, and nested analysis of variance; 14. Relationships between variables: linear correlation and linear regression; 15. Simple linear regression; 16. Non-parametric statistics; 17. Non-parametric tests for nominal scale data; 18. Non-parametric tests for ratio, interval or ordinal scale data; 19. Choosing a test; 20. Doing science responsibly and ethically.

Erscheint lt. Verlag 15.12.2005
Zusatzinfo 96 Line drawings, unspecified
Verlagsort Cambridge
Sprache englisch
Maße 152 x 227 mm
Gewicht 454 g
Themenwelt Mathematik / Informatik Mathematik Statistik
Naturwissenschaften Biologie
ISBN-10 0-521-54316-9 / 0521543169
ISBN-13 978-0-521-54316-3 / 9780521543163
Zustand Neuware
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