Biomeasurement : a student's guide to biological statistics / Dawn Hawkins.

Includes bibliographical references (p. [327]-331) and index.

Why am i reading this book? -- Getting to grips with the basics -- Describing a single sample -- Inferring and estimating -- Overview of hypothesis testing -- Tests on frequencies -- Tests of difference: two unrelated samples -- Tests of difference: two related samples -- Tests of difference: more than two samples -- Tests of relationship: regression -- Tests of relationship: correlation -- Introducing th general linear model -- Choosing the right test and graph

Statistical analysis allows us to attach meaning to data which we have collected; it helps us to understand what 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 the aspect of study which most students fear more than any other. 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 removes the stigma attached to statistics by giving students the confidence to use and further explore the key techniques for themselves. The book starts by placing the role of data analysis in the context of wider scientific method, and introduces the student to the key terms and concepts which are common to all statistical tools.

It 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. The book 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 and 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 Resource Centre The Online Resource Centre to accompany Biomeasurement features For lecturers: BL Figures from the book in electronic format, ready to download. For students: BL Data set, for use in a variety of statistical packages, so that students can practise carrying out statistical analysis. BL Literature link articles: full-text versions of the Literature Link articles cited in the text. BL Interactive calculation sheets to help students carry out key statistical tests quickly and easily, without needing other software.

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