News

# Statistics Insights for Scientists and Engineers

Mon, 12/07/2009 - 5:52am
Curious Cat Science and Engineering Blog

My father was a engineer and statistician. Along with George Box and Stu Hunter (no relation) they wrote Statistics for Experimenters (one of the potential titles had been Statistics for Engineers). They had an interest in bringing applied statistics to the work of scientists and engineers and I have that interest also. To me the key trait for applied statistics is to help experimenters learn quickly: it is an aid in the discovery process. It should not be a passive tool for analysis (which is how people often think of statistics).

José Ramírez studied applied and industrial statistics at the University of Wisconsin – Madison with my father and George Box. And now has a book and blog on taking statistics to engineers and scientists

The book is primarily written for engineers and scientists who need to use statistics and JMP to make sense of data and make sound decisions based on their analyses. This includes, for example, people working in semiconductor, automotive, chemical and aerospace industries. Other professionals in these industries who will find it valuable include quality engineers, reliability engineers, Six Sigma Black Belts and statisticians.

For those who want a reference for how to solve common problems using statistics and JMP, we walk through different case studies using a seven-step problem-solving framework, with heavy emphasis on the problem setup, interpretation, and translation of the results in the context of the problem.

For those who want to learn more about the statistical techniques and concepts, we provide a practical overview of the underpinnings and provide appropriate references. Finally, for those who want to learn how to benefit from the power of JMP, we have loaded the book with many step-by-step instructions and tips and tricks.

Stat Insights is a blog by José and Brenda Ramírez.

Analyzing and Interpreting Continuous Data Using JMP by José and Brenda Ramírez. view chapter 1 online.

[We] have focused on making statistics both accessible and effective in helping to solve common problems found in an industrial setting. Statistical techniques are introduced not as a collection of formulas to be followed, but as a catalyst to enhance and speed up the engineering and scientific problem-solving process. Each chapter uses a 7-step problem-solving framework to make sure that the right problem is being solved with an appropriate selection of tools.

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