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Examples of Analytical Data Treatment Using Microsoft Excel: Outliers, Significance Testing/ANOVA, Regression, Matrices, and Solver

By (author) Mark T Stauffer

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This book deals with the use of Microsoft(R) Excel(TM) for treatment of outlier data and results, significance testing in data analysis. The focus of this book centers on applications of Excel(TM)'s math and statistical functions and analysis tools to problems and questions in analytical chemistry. This book is intended as a practical, hands-on guide to the use of Excel(TM) for calculation and assessment of quantitative data and results from analytical determinations. A basic operational knowledge of Microsoft(R) Excel(TM) is assumed on the part of the reader. Methods covered in the book include Treatment of outlier data/results in the Excel(TM) worksheet environment (Dixon Q test, Grubbs (G) test, etc.); Two-sample significance testing in the Excel(TM) worksheet environment; Analysis of variance (ANOVA) in the Excel(TM) worksheet environment for more than two samples; Regression; and Matrix functions for multianalyte determination and multivariate calibration.

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