Synopsis

If for no other reason, the American ISO 25 and European EN45001 standards have increased analytic laboratories' awareness of the statistic treatment of analytic data and its need to be both accurate and precise simultaneously. Here the authors help practitioners by examining statistical measures of experimental data, distribution functions, confidence limits of the means, significance tests, and outliers. They describe regression analysis in light of instrument calibration, identification of an analyte by multi-measurement analysis, smoothing of spectra signals, peak search and peak integration, Fourier Transform methods, uncertainty analysis, and the unlikely but effective tools of artificial neural networks in analytical chemistry. They include references for each topic and a general index.