The first 40 pages of this text explain the basics of experimental procedure, samples and populations, hypothesis testing, the mean, variance, t-tests and how variance can be used to look for group differences. The material is handled extremely well and the reader certainly gets a good flavour of this important background information. The chapter on interactions and how to interpret them is one of the best I have seen: it gently guides the reader to a richer understanding of why interactions are so important. A great book for most second-year undergraduate students. - Andy Field, Royal Holloway University of LondonThis is an attractive and clearly-written book with a certain amount of soul or conviction, even though it is a statistics textbook. - John Goyder, University of WaterlooThis book has proven to be essential in my understanding of ANOVA. Every aspect of analysis of variance is clearly explained and the text is very easy to read and understand. Every new aspect is backed up with worked examples, making it easy to grasp both the simpler and more complex concepts. Particularly useful is the appendix explaining how to present the results of ANOVA's in a formal lab report. This text goes further than standard statistics textbooks and I would recommend it to anyone who has to use ANOVA, whether for the first time or for refreshing your memory! - Psychology undergraduate on Amazon.co.uk