An accessible and authoritative introduction to data handling and analysis for biology students—requiring no previous experience of statistics.This book serves as a practical and thorough guide to statistics and data analysis, specifically tailored to the biological sciences. Written in straightforward language, it makes data analysis easy to understand for biology students with no previous knowledge of statistics – or any particular enthusiasm for mathematics....

A book for Easter that is not about easy answers - that encourages us to seek signs of the continuing Passion of God in the world, not in abstract ideas but in our human bodies and souls.

Reflections for Advent from members, associates and friends of the Iona Community around the world - from Uganda, Scotland, Wales, Palestine, Switzerland, India, Malawi, Australia, China, Iona, Sweden, Kenya, Canada, Argentina, Brazil, the Netherlands, Germany, Jerusalem, Japan, Ireland, Taiwan, Cuba, Alaska - and more.

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling met...

"...I know of no better book of its kind..." (Journal of the Royal Statistical Society, Vol 169 (1), January 2006)A revised and updated edition of this bestselling introductory textbook to statistical analysis using the leading free software package RThis new edition of a bestselling title offers a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a wide range of disciplines. Step-by-ste...

Confusing Textbooks? Missed Lectures? Not Enough Time?Fortunately for you, there's Schaum's Outlines. More than 40 million students have trusted Schaum's to help them succeed in the classroom and on exams. Schaum's is the key to faster learning and higher grades in every subject. Each Outline presents all the essential course information in an easy-to-follow, topic-by-topic format. You also get hundreds of examples, solved problems, and practice exercises to test your skills.

In this book we have tried to bring together in a logical and understandable way all the basic statistical elements which affect field trials, their planning, implementation and interpretation. The book is designed to be suitable for Field Trials Specialists, Project Managers who may be interpreting results and students who may be taking their first opportunity to get involved in this type of experimentation.

Ecological Models and Data in R is the first truly practical introduction to modern statistical methods for ecology. In step-by-step detail, the book teaches ecology graduate students and researchers everything they need to know in order to use maximum likelihood, information-theoretic, and Bayesian techniques to analyze their own data using the programming language R. Drawing on extensive experience teaching these techniques to graduate students in ecology, Benjamin Bolker shows ...

Hugely successful and popular text presenting an extensive and comprehensive guide for all R usersThe R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such software to help implement such large data sets. R has become an essential tool for understanding and carrying out research.This edition:Features full colour ...

A reader-friendly introduction to geostatistics for students and researchers struggling with statistics. Using simple, clear explanations for introductory and advanced material, it demystifies complex concepts and makes formulas and statistical tests easy to apply. Beginning with a critical evaluation of experimental and sampling design, the book moves on to explain essential concepts of probability, statistical significance and type 1 and type 2 error. An accessible graphical explanation ...

Published in cooperation with the United States Aquaculture SocietyA strong background in statistics is essential for researchers in any scientific field in order to design experiments, survey research, analyze data, and present findings accurately. To date, there has been no single text to address these concepts in the context of aquaculture research. Statistics for Aquaculture fills that gap by providing user-friendly coverage of statistical principles a...

All students and researchers in environmental and biological sciences require statistical methods at some stage of their work. Many have a preconception that statistics are difficult and unpleasant and find that the textbooks available are difficult to understand.Practical Statistics for Environmental and Biological Scientists provides a concise, user-friendly, non-technical introduction to statistics. The book covers planning and designing an experiment, how to analyse and present...