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Introductory Statistics for Biology
Abstract
This introductory text presents the use of statistical methods as an integral part of biological investigation, yet one whose superficial complexities have deterred many biologists from using them. The author argues that the difficulties, such as they are, do not lie in mathematical manipulation, but in grasping a few simple, but unfamiliar concepts. He emphasizes the need for precisely defining problems and for careful selection of the most appropriate methods - a wide range of which are described and illustrated. Each chapter ends with a set of problems which are intended to help the student gain practical experience. No previous knowledge is assumed, and the student is encouraged to develop a competent and critical approach to analysing numerical data. In this second edition, the scope of the book has been extended, problems have been solved in a more satisfactory way, and a greater number of illustrative examples have been added.
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Citations
Cited by
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The metabolic costs of ‘bent-hip, bent-knee’ walking in humans.
Carey, T. S., & Crompton, R. H. (2005) · Journal of Human Evolution · doi:10.1016/j.jhevol.2004.10.001 · Cited by 81
Habitual meal frequency and energy intake regulation in partially temporally isolated men
Westerterp-Plantenga, M., Kovacs, E., & Melanson, K. (2002) · International Journal of Obesity · doi:10.1038/sj.ijo.0801855 · Cited by 61
Hamlin, R. (2022) · Nutrients · doi:10.3390/nu14214649 · Cited by 6
Metadata
- Authors
- Parker, R. E.
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 1991-10-03
- OpenAlex
- W2053254842
- Cited by
- 297
- References
- 0
- FWCI
- 7.00
- Type
- book
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Introductory Statistics for Biology. https://app.cochat.ai/papers/10.1017/cbo9781139168328
- The paper
- Parker, R. E. (1991). Introductory Statistics for Biology. Cambridge University Press eBooks. https://doi.org/10.1017/cbo9781139168328
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.