on 12 March 2003
I used many statistics books when conducting my environmental dissertation and found this one to be the very best. Most of the other books grounded statistics in heavy mathematical theory, which was not only pedantic and unnecessary but also extremely difficult to apply. This book was clearly written by someone who appreciates the needs of the student who wants to incorporate statistics into their own individual project. It was highly practical in this regard with a very comprehensive section on how to ascertain whether a data set is normally distributed, and if it is not, how to transform it so as to employ the numerous tests which assume normality such as ANOVA and the t-test. The material covered in the book is common to many other stats books with sections on describing data, presenting data and formulating and testing hypotheses. What makes this material stand out from the other works is its clarity and applicability to the needs of the undergraduate/postgraduate student.
on 27 January 2009
This is an excellent book for an introduction to the world of stats for scientists. It is our recommended text for an undergraduate biological statistics course I took. It is written in a simple way yet manages to cover most of the stats needed in parametric and non-parametric testing with examples in a lot of them. It covers the basic maths so that you can get an idea of where the idea is coming from, but no so much that it goes way over your head! It also has info about experiment design and presentation which can help make things clearer.
on 30 March 2011
This was my best statistics book ever. I finally managed to understand all the fuzzy details I never managed from other (larger, more advanced, more general) handbooks. I can only recommend it to anyone struggling with some basics and not willing to dig all depths. It really gives a very nice overall background, and you definitely don't need to be a biologist to understand it (I'm an engineer).