Statistical Analysis Methods for Chemists

Many forms of chemical experimentation generate data needing analysis and interpretation in respect of the goals of the experiment and also the chemical factors which may influence the outcome. Statistical data analysis techniques provide the tools which enable a chemist to assess the information obtained from experiments. Statistical Analysis Methods for Chemists: A Software-based Approach aims to give a broad introduction to practical data analysis, and provides comprehensive coverage of basic statistical principles and reasoning. With practical examples, and integration of software output as the basis of data analysis, this useful book gives unique coverage of the statistical skills and techniques required in modern chemical experimentation. It will prove invaluable to students and researchers alike. Software update information is available from W Gardiner at w.gardiner@gcal.ac.uk or fax +44 (0)141 331 3608. Please accompany requests for information with details of the software version to be used.

Introduction; Simple Chemical Experiments: Parametric Inferential Data Analysis; One Factor Experimental Designs for Chemical Experimentation; Factorial Experimental Designs for Chemical Experimentation; Regression Modelling in the Chemical Sciences; Non-parametric Inferential Data Analysis; Two-level Factorial Designs in Chemical Experimentation; Multivariate Analysis Methods in Chemistry; Appendices; Answers to Exercises; Index.