Most chemists who wish to interpret and analyze data want to know how to use analytical techniques but are not concerned with the details of statistical theory. This practical guide provides the information they need. The most common mathematical and statistical methods used to analyze chemical data are described and explained through a wide range of examples. These are drawn from pharmaceutical and agrochemical design, with emphasis placed on the generation of quantitative structure-activity relationships. By including multivariate methodology, this book shows chemists and other researchers in academia and industry how to use important analytical techniques which are usually reserved for statisticians.