Practical Statistics for the Analytical Scientist

The application of statistics is central to the assessment of data quality and an understanding of statistics is essential for the interpretation of analytical results. 'Practical Statistics for the Analytical Scientist, A Bench Guide' was first published by the RSC in 1997. This well structured manual was designed to help practicing analytical scientists and students identify the correct statistical parameters and tests to apply to their data. Completely revised and updated, the second edition contains new sections on method validation, measurement uncertainty, effective experimental design and proficiency testing. Key features: -covers the essential statistics required in analytical science -describes the application of statistics in important quality assurance activities such as method validation, evaluating uncertainty and proficiency testing -aimed at analysts who may have little knowledge of statistics -focuses on applications rather than theory -'FAQs' in the introduction guide the reader to appropriate chapters -comprehensive list of symbols and notation -extensive worked examples illustrate key statistical techniques -self-assessment questions (with detailed solutions) to test understanding. The book provides the reader with a set of statistical tools to help them plan effective experiments and apply appropriate statistics for data evaluation.

ISBN 0854041311   Pages 282 ISBN13 9780854041312 (What's this?)   Volumes 1 Publisher Royal Society of Chemistry   Weight (grammes) 513 Imprint Royal Society of Chemistry   Published in Cambridge Format Paperback   Previous ISBN 9780854044429 Publication date 01 Sep 2009   Height (mm) 246 Library of Congress QD75.4.C45   Width (mm) 189 DEWEY 543.015195   Spine width (mm) 15 DEWEY edition DC22   Academic level Postgraduate, Professional / Scholarly

Ch. 1		Introduction - Choosing the Correct Statistics		1
Ch. 2		Graphical Methods		7
Ch. 3		Distributions and Types of Data		16
Ch. 4		Basic Statistical Techniques		25
Ch. 5		Outliers in Analytical Data		48
Ch. 6		Analysis of Variance		59
Ch. 7		Regression		92
Ch. 8		Designing Effective Experiments		114
Ch. 9		Validation and Method Performance		144
Ch. 10		Measurement Uncertainty		161
Ch. 11		Analytical Quality Control		173
Ch. 12		Proficiency Testing		180
Ch. 13		Simple Sampling Strategies		189
		Appendices		203
App. A		Statistical Tables		205
App. B		Symbols, Abbreviations and Notation		216
App. C		Questions and Solutions		220
		Subject Index		263

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