Automated instrumentation produces reams of data that need to be interpreted within a relatively short period of time. Statistics is a major tool in this important endeavor to conquer - and understand - numbers. In this important work, various techniques, perspectives, and applications are brought together so that readers can learn the basic concepts, recognize trends and connections, and clearly observe how the various equations are linked to decision making. There is in-depth coverage of elementary and moderately advanced statistics, numerical simulation and optimization, some programming, real-life industrial examples, and applications in the analytical lab under GMP. Statistical Methods in Analytical Chemistry also comes with a 3.5 floppy disk with 32 BASIC programs and over 30 sample data files. This book was written for those who already have some firsthand experience with numbers - be it in an analytical or other type of laboratory. The common ground covered in this book is the act of calibrating measuring equipment, collecting, and interpreting data. The examples were taken from a chemical/pharmaceutical environment, but only serve as convenient vehicles for the discussion of when to use which test, and how to make sense out of the results. While practical use of statistics is the major concern, it is put into perspective, and the reader is urged to use plausibility checks. Statistical Methods in Analytical Chemistry integrates PC computing power, testing programs, sample data files, algorithms instead of statistical tables, and analytical know-how in the context of a GMP/GLP-conscious industrial setting.