Search results for ""Author Graeme D. Ruxton""
Oxford University Press The Statistical Analysis of Small Data Sets
We live in the era of big data. However, small data sets are still common for ethical, financial, or practical reasons. Small sample sizes can cause researchers to seek out the most powerful methods to analyse their data, but they may also be wary that some methodologies and assumptions may not be appropriate when samples are small. The book offers advice on the statistical analysis of small data sets for various designs and levels of measurement, helping researchers to analyse such data sets, but also to evaluate and interpret others'' analyses. The book discusses the potential challenges associated with a small sample, as well as the ways in which these challenges can be mitigated. General topics with strong relevance to small sample sizes such as meta-analysis, sequential and adaptive designs, and multiple testing are introduced. While the focus is on hypothesis tests and confidence intervals, Bayesian analyses are also covered. Code written in the statistical software R is presente
£40.00
Oxford University Press Presenting Scientific Data in R: Creating effective graphs and figures
Written primarily for students embarking on an undergraduate bioscience degree, this primer provides an accessible, straightforward, and approachable guide to data presentation using R. It offers valuable and widely applicable advice on how to choose the most appropriate type of graph for different types of data, and guides readers from the basics of plotting clear figures to producing polished and effective visuals, illustrating the core concepts and features of excellent graphing. This primer uses simple and engaging biology-based example data sets to take readers from the essential aspects of basic plots to more advanced graphing techniques and details. Digital formats and resources The book is available for students and institutions to purchase in a variety of formats, and is supported by online resources: - The e-book offers a mobile experience and convenient access along with functionality tools, navigation features, and links that offer extra learning support: www.oxfordtextbooks.co.uk/ebooks - Online resources include extended supplementary resources to guide use of R, multiple choice questions for students to check their understanding, and, for registered adopters, figures and tables from the book
£27.05
Oxford University Press Experimental Design for the Life Sciences
The careful design of experiments lies at the core of good research. Experimental Design for the Life Sciences equips you with the skills you need to effectively design experiments, making this essential aspect of the research process readily understandable. It demonstrates how good experimental design relies on clear thinking and biological understanding, not mathematical or statistical complexity. With a refreshingly approachable and articulate style, the book walks you through the considerations that go into designing an experiment in clear, practical terms. Using examples drawn from across the life sciences - from ecology, biochemistry, molecular biology, genetics, and health sciences - the authors illustrate how these concepts are applied within the broad context of real biological research. Online Resource Centre The Online Resource centre to accompany Experimental Design for the Life Sciences features: For students: · Self-test questions and answers · Additional examples · Supplementary sections discuss complex concepts and statistical issues in more depth · Links to useful websites and free software For lecturers: · Suggested course structures, complete with practical exercises · Figures from the book, available to download
£35.99
