Description
Book Synopsis: The increasing importance in laboratory situations of minutely precise measurements presents the chemist and physicist with numerous problems in data analysis. National Bureau of Standards statistics consultant John Mandel here draws a clear and fascinating blueprint for a systematic science of statistical analysis — geared to the particular needs of the physical scientist, with approach and examples aimed specifically at the statistical problems he is likely to confront. The first third of The Statistical Analysis of Experimental Data comprises a thorough grounding in the fundamental mathematical definitions, concepts, and facts underlying modern statistical theory — math knowledge beyond basic algebra, calculus, and analytic geometry is not required. Remaining chapters deal with statistics as an interpretative tool that can enable the laboratory researcher to determine his most effective methodology. You'll find lucid, concise coverage of over 130 topics, including elements of measurement; nature of statistical analysis; design/analysis of experiments; statistics as diagnostic tool; precision and accuracy; testing statistical models; between-within classifications; two-way classifications; sampling (principles, objectives, methods); fitting of non-linear models; measurement of processes; components of variance; nested designs; the sensitivity ratio, and much more.
Also included are many examples, each worked in step-by-step fashion; nearly 200 helpful figures and tables; and concluding chapter summaries followed by references for further study. Mandel argues that, when backed by an understanding of its theoretic framework, statistics offers researchers "not only a powerful tool for the interpretation of experiments but also a task of real intellectual gratification." The Statistical Analysis of Experimental Data provides the physical scientist with the explanations and models he requires to impress this invaluable tool into service.
Details
Are you a chemist or physicist constantly faced with the challenge of analyzing experimental data? Look no further than The Statistical Analysis of Experimental Data, a comprehensive guide designed specifically for the needs of physical scientists. Written by renowned statistics consultant John Mandel, this book offers a blueprint for a systematic science of statistical analysis, equipped with practical examples and step-by-step explanations. Don't let the complexity of data analysis hold you back - unleash the power of statistics and take your research to the next level.
With over 130 topics covered, The Statistical Analysis of Experimental Data provides a solid foundation in the fundamental mathematical concepts underlying modern statistical theory. You don't need advanced math knowledge to benefit from this book, as Mandel's approach is tailored to the needs of laboratory researchers. Learn how to use statistics as a diagnostic tool, design and analyze experiments, test statistical models, and much more.
One of the standout features of this book is its clarity and conciseness. The author's ability to explain complex concepts in a straightforward manner makes it accessible to both beginners and experienced researchers. Each topic is accompanied by worked examples, figures, and tables, ensuring that you can easily apply the knowledge and techniques to your own experiments.
Mandel goes beyond providing a mere technical guide - he emphasizes the intellectual gratification that comes with understanding the theoretical framework behind statistics. By mastering statistical analysis, you will not only enhance the interpretation of your experiments but also unlock new avenues of research. Don't miss out on the opportunity to make statistics your most trusted ally in the laboratory.
Ready to delve into the fascinating world of statistical analysis? Get your copy of The Statistical Analysis of Experimental Data today and equip yourself with the tools you need to excel in your research. Click here to order now!
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