Emphasizing 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. Placing the role of data analysis in the context of the wider scientific method and
introducing students to key terms and common statistical concepts, the text demonstrates the power and importance of statistics throughout the study of bioscience.
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
Ancillary Resource Centre:
Instructor Resources:
- PowerPoint slides
- Figures from the book
- Additional exercises
Student Resources:
- Screencast walkthroughs for SPSS and R
- Online glossary
- Flashcards
- Data sets
- Key technique help
sheets
- Interactive calculations sheets
- Full-text versions of Literature Link articles
E-Book ISBN 9780192534491
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.
