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A refreshing, student-focused introduction to the use of statistics in the study of the biosciences. Emphasising why statistical techniques are essential tools for bioscientists, Biomeasurement removes the stigma attached to statistics by giving students the confidence to use key techniques for themselves.
List of contents
- 1: Why am I reading this book?
- 2: Getting to grips with the basics
- 3: Describing a single sample
- 4: Inferring and estimating
- 5: Choosing the right test and graph
- 6: Overview of null hypothesis significance testing
- 7: Tests on frequencies
- 8: Tests of difference: two unrelated samples
- 9: Tests of difference: two related samples
- 10: Tests of difference: more than two samples
- 11: Tests of relationship: regression
- 12: Tests of relationship: correlation
- 13: Introducing the generalized linear model: general linear model
- 14: More on the generalized linear model: logistic and loglinear models
- Appendix I How to enter data into SPSS
- Appendix II Statistical tables of critical values
- Appendix III Summary guidance on reporting statistical results
- Appendix IV Statistics and experimental design
About the author
Dr Dawn Hawkins is Reader in the School of Life Sciences at Anglia Ruskin University. She has over 20 years' experience in curriculum development and teaching whole organism biology and statistics in higher education. Her textbook is based on the quantitative modules that she teaches to undergraduate and postgraduate bioscientists. As well as the use of statistics in the biosciences, her research interests also include the behaviour, ecology and conservation of animals in East African ecosystems.
Summary
A refreshing, student-focused introduction to the use of statistics in the study of the biosciences. Emphasising why statistical techniques are essential tools for bioscientists, Biomeasurement removes the stigma attached to statistics by giving students the confidence to use key techniques for themselves.
