Clear, accessible introduction to the main statistical methods used in modern analytical laboratories. Features a comprehensive coverage including robust statistics, Bayesian methods, and testing for normality of distribution, plus expanded material on regression and calibration methods Quality of analytical measurements chapter includes up to date and detailed coverage of the estimation of measurement uncertainty and the validation of analytical methods. Includes a range of experimental design methods, including the increasingly popular optimal designs. Worked examples have been updated throughout to ensure compatibility with the latest versions of Excel and Minitab. Exercises are available at the end of each chapter to allow student to check understanding and prepare for exams. Answers are provided at the back of the book for handy reference.