Statistics Explained, An Introductory Guide for Life Scientists

Statistics Explained, An Introductory Guide for Life Scientists

by SteveMcKillup (Author)

Synopsis

Statistics Explained is a reader-friendly introduction to experimental design and statistics for undergraduate students in the life sciences, particularly those who do not have a strong mathematical background. Hypothesis testing and experimental design are discussed first. Statistical tests are then explained using pictorial examples and a minimum of formulae. This class-tested approach, along with a well-structured set of diagnostic tables will give students the confidence to choose an appropriate test with which to analyse their own data sets. Presented in a lively and straight-forward manner, Statistics Explained will give readers the depth and background necessary to proceed to more advanced texts and applications. It will therefore be essential reading for all bioscience undergraduates, and will serve as a useful refresher course for more advanced students.

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More Information

Format: Paperback
Pages: 280
Publisher: Cambridge University Press
Published: 15 Dec 2005

ISBN 10: 0521543169
ISBN 13: 9780521543163
Book Overview: Student-friendly introduction to statistics, essential for bioscience undergraduates, particularly those without a strong mathematical background.

Media Reviews
'McKillup deserves to be congratulated on having produced a clear and accessible statistics book pitched at the uninitiated or the unsure. The slightly panicky should relax and take a quiet dose of a couple of chapters at a time and pretty soon all should seem much less awful. For the novice, confident or not, Statistics Explained offers an excellent primer that does not purport to be fully comprehensive yet manages to cover most things one really needs to know.' Ian C. W. Hardy, University of Nottingham
'This book would be an excellent course textbook to be used as an accompaniment to an undergraduate (or postgraduate) course in statistics and experimental design (either by students, or as a basis for teaching ... There are distinct strengths to this book. the procedure adopted for statistical tests remains consistent throughout the book. The chapters are built up skilfully, the order of ideas being entirely appropriate. These ideas are 'sign-posted' with carefully chosen sub-headings, and the explanations carefully crafted to focus on students' understanding, rather than simply enabling them to mechanically number-crunch, avoiding excessive mathematical terminology.' JBE
'McKillup deserves to be congratulated on having produced a clear and accessible statistics book pitched at the uninitiated or the unsure. The slightly panicky should relax and take a quiet dose of a couple of chapters at a time and pretty soon all should seem much less awful ... My overall opinion of this book is captured by the fact that this is the introductory text that I shall be recommending to the students on the statistical analysis module that I teach next semester.' Journal of Agricultural Science
'This book will be a valuable reference and learning aid for all students without a strong mathematical background seeking a conceptual understanding of statistical design. I would recommend this book if you are interested in teaching an introductory statistics course for undergraduate students in the life sciences arena.' American Statistical Association
...a very readable, accessible introduction to statistics. The explanations are refreshingly clear. The book will be a great introduction for undergraduate students of all levels, and provides innovative teaching approaches for instructors. Highly recommended. Choice
This is the introductory text that I shall be recommending to the students on the statistical analysis module that I teach next semester. Ian C.W. Hardy, University of Nottingham
... This author is [much more] clear and effective, achieving a balanced mix of words and mathematics by relating the material through pictorial aspects, explanations, and formulas. This book will be a valuable reference and learning aid for all students without a strong mathematical background seeking a conceptual understanding of statistical design. Page C. Moore, University of Arkansas for Medical Sciences for The American Statistician
Author Bio
Steve McKillup is an Associate Professor of Biology in the School of Biological and Environmental Sciences at Central Queensland University, Rockhampton.