## Statistics and Chemometrics for Analytical ChemistryThis popular textbook gives a clear and lucid account of the underlying principles of statistical methods. The fourth edition has been revised and updated to reflect the growing popularity of statistics and chemometric methods and new approaches in optimization and experimental design. The authors have also addressed the quality of analytical chemistry data and experimental results, an area of increasing concern to chemists testing the safety of food and medicines. |

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### Contents

Statistics of repeated measurements | 20 |

Significance tests | 42 |

The quality of analytical measurements | 75 |

Copyright | |

3 other sections not shown

### Other editions - View all

Statistics and Chemometrics for Analytical Chemistry James N. Miller,Jane Charlotte Miller No preview available - 2005 |

Statistics and Chemometrics for Analytical Chemistry James N. Miller,Jane Charlotte Miller No preview available - 2010 |

### Common terms and phrases

absorbance action lines analysis analytical chemistry applied approach assumption between-sample calibration plot Chapter Chemometrics compared confidence interval confidence limits control chart correlation coefficient critical value cumulative frequency curve data set degrees of freedom described determined differ significantly effect estimate example experiment experimental F-test fluorescence give given groups important instrument interaction intercept laboratory limit of detection linear median Minitab multivariate non-parametric normal distribution null hypothesis number of degrees number of measurements occur optimization optimum outliers performed points population possible practice precision predictor variables principal components probability problem procedure quantity r-value random errors range rank regression line relative standard deviation replicate measurements response results obtained robust sample means Section set of data Shewhart Shewhart chart shows significance tests simplex slope solution spectrometry statistical straight line sum of squares systematic errors Table target value tion titration two-sided test types unweighted vertex warning lines wavelength weighted regression within-sample y-values