A comprehensive guide to applying statistical methods within a laboratory setting. It emphasizes the practical utility of these techniques in ensuring the accuracy and safety of products like food, water, and medicine without requiring advanced mathematical expertise. The text covers fundamental concepts such as mean, standard deviation, and confidence limits, while also exploring more complex calibration and significance tests. Additionally, it introduces modern chemometric approaches, including multivariate analysis, principal component analysis, and neural networks, to handle large datasets. To support student learning, the authors include worked examples and exercises that utilize common software tools like Microsoft Excel and Minitab. Ultimately, the source serves as a bridge between theoretical statistics and the daily requirements of professional analytical chemists.
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