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Most chemists working with data want to apply analytical techniques rather than learn 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 illustrated with a wide range of examples drawn from pharmaceutical and agrochemical design. By including multivariate methodology, this book shows chemists and other researchers in academia and industry how to use important analytical techniques that are usually reserved for statisticians.