The application of statistics is central to the assessment of data quality and an understanding of statistics is essential for the interpretation of analytical results. The fully revised and updated 2nd edition describes the most common statistical parameters used in an analytical laboratory and contains new sections on method validation, measurement uncertainty, effective experimental design and proficiency testing. The book is aimed at practising analysts and students of analytical science.