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Statistics Explained: An Introductory Guide for Life Scientists (Paperback)
  • Statistics Explained: An Introductory Guide for Life Scientists (Paperback)
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Statistics Explained: An Introductory Guide for Life Scientists (Paperback)

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£29.99
Paperback 416 Pages / Published: 03/11/2011
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An understanding of statistics and experimental design is essential for life science studies, but many students lack a mathematical background and some even dread taking an introductory statistics course. Using a refreshingly clear and encouraging reader-friendly approach, this book helps students understand how to choose, carry out, interpret and report the results of complex statistical analyses, critically evaluate the design of experiments and proceed to more advanced material. Taking a straightforward conceptual approach, it is specifically designed to foster understanding, demystify difficult concepts and encourage the unsure. Even complex topics are explained clearly, using a pictorial approach with a minimum of formulae and terminology. Examples of tests included throughout are kept simple by using small data sets. In addition, end-of-chapter exercises, new to this edition, allow self-testing. Handy diagnostic tables help students choose the right test for their work and remain a useful refresher tool for postgraduates.

Publisher: Cambridge University Press
ISBN: 9780521183284
Number of pages: 416
Weight: 660 g
Dimensions: 228 x 152 x 19 mm
Edition: 2nd Revised edition


MEDIA REVIEWS
'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 formulae with graphics and realistic examples. He is a biologist writing for fellow-biologists ... [The book] 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 savour the clarity of the explanations of the common univariate and multivariate analyses ... an ideal core text for anyone teaching or studying biostatistics ...' Andrew Boulton, University of New England, 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-travelled item from my bookshelf to the shores of both undergraduate confusion and postgraduate clarification. However, I always make sure it comes back because it [is] a valued item in my biology toolkit.' Michael Kokkinn, 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, University of Minnesota College of Pharmacy
'Most exciting perhaps are the topics covered that are not often discussed in introductory textbooks ... I have no doubt that Statistics Explained will find a large and appreciative audience among undergraduate biology majors.' The Quarterly Review of Biology
"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

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