Statistical methods are a key tool for all scientists working with data‎,‎ but learning the basic mathematical skills can be one of the most challenging components of a biologist‎'‎s training‎.‎ This accessible book provides a contemporary introduction to the classical techniques and modern extensions of linear model analysis‎:‎ one of the most useful approaches in the analysis of scientific data in the life and environmental sciences‎.‎ It emphasizes an estimation‎-based approach that accounts for recent criticisms of the over‎-use of probability values‎,‎ and introduces alternative approaches using information criteria‎.‎ Statistics are introduced through worked analyses performed in R‎,‎ the free open source programming language for statistics and graphics‎,‎ which is rapidly becoming the standard software in many areas of science and technology‎.‎