From the Publisher
"Every so often, a researcher or teacher comes across a book and exclaims ‘I wish I had had a book like this when I started! Statistics Explained is such a book. Steve McKillup writes with empathy for students’ anxiety about statistics. He replaces complex-looking formula with graphics and realistic examples. He is a biologist writing for fellow-biologists. Although the book is structured like most other biostatistics texts, it explains why the statistical test is needed before describing the test. Essential features of good survey and experimental design are clearly outlined... This is not ‘just another biostatistics textbook’. Its sheer readability will restore confidence to the most anxious student while experienced researchers will savor the clarity of the explanations of the common univariate and multivariate analyses. It would be an ideal core text for anyone teaching or studying biostatistics... I wish I had had a book like this when I started!"
Andrew Boulton, Adjunct Professor, University of New England, New South Wales, Australia
"It’s remarkable that, after the appearance of many statistics textbooks and statistics computer packages over the years, finally someone has produced a succinct and accessible text that takes a common-sense and appealing approach to the basics of statistical analysis. Complementing Steve McKillup’s remarkably lucid explanations is a format which sings pleasingly with clarity. The book progresses in logical fashion through the variety of statistical tests and gives the reader a sound background in the process without the common dizzying confusion. The narrative style and informative approach has made my copy a much-traveled item from my bookshelf to the shores of both undergraduate confusion and post-graduate clarification. However, I always make sure it comes back because it a valued item in my biology toolkit."
Michael Kokkinn, Senior Lecturer in Biology, The University of South Australia
"Statistics Explained is an excellent introduction to statistics for new students and a helpful refresher for more seasoned researchers. The text is quite readable and filled with practical examples for the life sciences."
Erin D. Sheets, Associate Professor, University of Minnesota College of Pharmacy, USA
"I have no doubt that Statistics Explained will find a large and appreciative audience among undergraduate biology majors."
Heather Lynch, The Quarterly Review of Biology
