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Statistical Engineering, a Missing Ingredient in the Introductory Statistics Course

Summary: Statistical engineering is a bold, new idea. It asks statisticians to think more broadly about the process of using statistical thinking, methods, and tools in solving important problems. It is currently largely lacking in the way we train statisticians. But the author believes that it is also a missing ingredient in the way we teach our introductory courses. In this article the author reviews recent advances in how we teach our introductory courses and show that current introductory textbooks teach students the individual elements of statistical thinking, statistical methods, and the tools to implement these methods. But, just as in our training of undergraduate and graduate statistics majors, we fail to adequately explain how statistical thinking, methods, and tools are integrated to solve important problems. The author argues that it makes sense to (1) use examples of complex problems repeatedly throughout an introductory textbook and (2) include a capstone chapter that exposes students to the statistical engineering view. The author provides some suggestions as to how this might be accomplished.

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  • Topics: Statistics
  • Keywords: Curriculum, Education, Statistical engineering, Statistics
  • Author: Notz, William I.
  • Journal: Quality Engineering