Book contents
- Frontmatter
- Contents
- 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 – tests for comparing the means of one and two samples
- 7 Type 1 and Type 2 errors, 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
- References
- Index
- References
References
Published online by Cambridge University Press: 05 June 2012
Book contents
- Frontmatter
- Contents
- 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 – tests for comparing the means of one and two samples
- 7 Type 1 and Type 2 errors, 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
- References
- Index
- References
Summary
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- Information
- Statistics ExplainedAn Introductory Guide for Life Scientists, pp. 261 - 262Publisher: Cambridge University PressPrint publication year: 2005
References
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Zelen, M. and Severo, N. C. (1964) Probability functions. In Handbook of Mathematical Functions, and (eds.). Washington, DC: National Bureau of Standards, pp. 925–95.Google Scholar
, (1999) What Is This Thing Called Science? 3rd edition. Indianapolis: Hackett Publishing Co.Google Scholar
(1984) Pseudoreplication and the design of ecological field experiments. Ecological Monographs 54: 187–211.CrossRefGoogle Scholar
, (1970) The Structure of Scientific Revolutions, 2nd edition. Chicago: University of Chicago Press.Google Scholar
, (1992) Stealing into Print. Fraud, Plagiarism and Misconduct in Scientific Publishing. Berkeley, CA: University of California Press.Google Scholar
, (1978) The Methodology of Scientific Research Programmes. New York: Cambridge University Press.CrossRefGoogle Scholar
(1988) Behaviour of the millipedes. Ommatoiulus moreletii, Ophyiulus verruciluger and Oncocladosoma castaneum in response to visible light; an explanation for the invasion of houses by Ommatoiulus moreletii. Journal of Zoology, London 215: 35–46.CrossRefGoogle Scholar
and (1993) Behavior of the intertidal gastropod Planaxis sulcatus (Cerithiacae: Planaxidae) in Fiji: are responses to damaged conspecifics and predators more pronounced on tropical versus temperate shores?Pacific Science 47: 401–7.Google Scholar
, and (2002) Experimental Design and Data Analysis for Biologists. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
and (1988) Nonparametric Statistics for the Behavioral Sciences. 2nd edition. New York: McGraw-Hill.Google Scholar
, (1993) Applied Nonparametric Statistical Methods. 2nd edition. London: Chapman & Hall.Google Scholar
Zelen, M. and Severo, N. C. (1964) Probability functions. In Handbook of Mathematical Functions, and (eds.). Washington, DC: National Bureau of Standards, pp. 925–95.Google Scholar