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.
- The introductory biological statistics text with the best online resources and software support for bioscience students needing to integrate statistics into their studies and apply it in their research.
- Explains why statistics are needed, how to choose and carry out statistical analyses, and how their results can be interpreted.
- Focuses on the application of statistics as a valuable research tool, avoiding detailed treatment of the mathematical basis of statistics.
- Emphasises explanations so that students are guided through the key concepts and techniques in a steady, progressive way.
- Enables students to build confidence in handling actual data through the use of real data sets.
- Illustrates the use of the techniques in published research work through 'Literature Links', which highlight the importance of statistics in real-world science and demonstrate how to report results in a professional manner.
- The book comes with a strong suite of accompanying online resouces for students and teachers including helpsheets and screencasts for using SPSS and R, as well as data sets, and interactive calculation sheets
New to this edition
- New sections giving guidance on sample size choices and thei consequences
- An additional 'Choosing Chart' for graphs to help explore and communicate data
- A new checklist for reporting results in tables and figures
- Fuller treatment of frequency data and their handling in chi-square tests using SPSS
- Expanded online support for R and SPSS, including additional example datasets
About the Author(s)
Dawn Hawkins, Reader, Department of Life Sciences, Anglia Ruskin University
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
"Review from previous edition Biomeasurement does a wonderful job of keeping the biology the focus of analysis, and highlighting the fact that statistics is simply another useful tool to help biological understanding." - Dr Shane Richards, Biological and Biomedical Sciences, University of Durham, UK
"This book represents the best I have seen for teaching undergraduate biologists statistics." - Dr Chris Venditti, Department of Biological Sciences, University of Hull, UK
"It demystifies and clarifies topics that students can normally find confusing and challenging. It is a must for biologists!" - Dr Maria G. Tuohy, School of Natural Sciences, National University of Ireland, Galway
"This book was a blessing when I got it for my first year, and I'm still finding it helpful in my second year! It is so easy to navigate; you can read it cover to cover if you are very confused, or just dip into the topics you need. I would definitely recommend it to any students doing a bioscience degree which involves statistical elements." - Bethany Richmond, student at the University of Warwick
"As a student with limited mathematical ability, new to statistics who believed I would not be able to pass this module, I read this book chapter by chapter prior to my weekly lectures and everything fell into place without a struggle. A 100% necessary purchase. A 100% necessary read. The book is appealing and very easy to navigate. I have tried to read other statistics books aimed at beginners but this was the only book which I clearly understood." - Julie Carter, student at Anglia Ruskin University
The online resources to accompany Biomeasurement include:
· Screencast walkthroughs for SPSS and R.
· Online glossary and flashcard glossary.
· Data sets, for use in statistical analysis software packages.
· Help sheets offering concise guidance on key techniques and the use of statistical analysis software packages.
· Interactive calculation sheets to help students carry out key statistical tests quickly and easily in Excel, without the need for other software.
· Full-text versions of Literature Link articles from OUP Journals.
For registered adopters of the book:
· Additional exercises, to supplement those in the book, and suggested tutorial assignments.
· Figures from the book, available for download.
· PowerPoint presentation outlines for each chapter.