Biomeasurement: A Student's Guide to Biological Statistics

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Dawn Hawkins (Reader, Reader, Department of Life Sciences, Anglia Ruskin University)

Biomeasurement

A Student's Guide to Biological Statistics

Dawn Hawkins (Reader, Reader, Department of Life Sciences, Anglia Ruskin University)

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English

Oxford University Press
28 March 2019

Probability & statistics; Applied mathematics; Maths for scientists; Biology, life sciences

Statistical analysis allows us to attach meaning to data that we have collected; it helps us to understand what experimental results really mean, and to assess whether we can trust what experiments seem to be telling us. Yet, despite being a collection of the most valuable and important tools available to bioscientists, statistics is often the aspect of study most feared by students. Biomeasurement offers a refreshing, student-focused introduction to the use of statistics in the study of the biosciences. With an emphasis on why statistical techniques are essential tools for bioscientists, the book develops students' confidence to use and further explore the key techniques for themselves. Beginning by placing the role of data analysis in the context of the wider scientific method and introducing the student to the key terms and concepts common to all statistical tools, the book then guides the student through descriptive statistics, and on to inferential statistics, explaining how and why each type of technique is used, and what each can tell us in order to better understand our data. It goes on to present the key statistical tests, walking the student step-wise through the use of each, with carefully-integrated examples and plentiful opportunities for hands-on practice. The book closes with an overview of choosing the right test to suit your data, and tools for presenting data and their statistical analyses. Written by a talented educator, whose teaching has won praise from the UK's Quality Assurance Agency for Higher Education, Biomeasurement is sure to engage even the most wary of students, demonstrating the power and importance of statistics throughout the study of bioscience. Online resources: The online resources to accompany Biomeasurement include: For students:· 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.

By: Dawn Hawkins (Reader Reader Department of Life Sciences Anglia Ruskin University)
Imprint: Oxford University Press
Country of Publication: United Kingdom
Edition: 4th Revised edition
Dimensions: Height: 245mm, Width: 190mm, Spine: 19mm
Weight: 650g
ISBN: 9780198807483
ISBN 10: 0198807481
Pages: 384
Publication Date: 28 March 2019
Audience: College/higher education , Primary
Format: Paperback
Publisher's Status: Active

1: Why am I reading this book?2: Getting to grips with the basics3: Describing a single sample4: Inferring and estimating5: Choosing the right test and graph6: Overview of null hypothesis significance testing7: Tests on frequencies8: Tests of difference: two unrelated samples9: Tests of difference: two related samples10: Tests of difference: more than two samples11: Tests of relationship: regression12: Tests of relationship: correlation13: Introducing the generalized linear model: general linear model14: More on the generalized linear model: logistic and loglinear modelsAppendix I How to enter data into SPSSAppendix II Statistical tables of critical valuesAppendix III Summary guidance on reporting statistical resultsAppendix IV Statistics and experimental designRelated Titles

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.

Reviews for Biomeasurement: A Student's Guide to Biological Statistics

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