This is one of the most readable books on statistical methods ever written. It includes clear examples of how to apply statistics to everyday experimental settings. Geared towards those who collect data in the physica , engineering, biological, and social sciences, the material is presented with the non-statistican in mind and only requires an elementary understanding of mathematics. The first three chapters offer an excellent introduction to statistical thinking and focuses on how to properly conduct experiments and analyze data. The book also includes advanced topics such as time series analysis, response surface methods, regression analysis, study of error transmission, and mechanistic model building. Terminology is clearly explained throughout the book along with a comprehensive appendix and index. 

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