This core text is a self-contained course in statistics, covering both the general linear model (including regression and analysis of variance) and the generalized linear model. Although intended as a senior undergraduate course in applied statistics, it reviews the prerequisite methods and ideas in a concise and clear way. The material is application-orientated, with use of the software package GENSTAT for Windows integrated into the text. The basics of GENSTAT are introduced and first used in conjunction with a review of simple linear regression, moving on to more sophisticated analyses, and ranging over multiple linear regression, analysis of variance, logistic regression and loglinear modelling. The final chapter consists of four data analysis case studies using techniques from the rest of the book.
