Invited Session: Statistical Thinking for Business Improvement
Statistical Thinking for Business Improvement
Lynne B. Hare
Roger W. Hoerl
Ronald D. Snee
Several authors have recently noted that American businesses are generally not reaping the tremendous potential of broad application of statistical thinking. Some of the barriers mentioned include: lack of clear understanding of what statistical thinking is and how it differs from statistical techniques; lack of understanding of how it can be applied broadly, especially in situations where little or no data exist; and inability to effectively develop organizational capability to apply it. This session will address these three issues, and in doing so, demonstrate how to utilize "experiential learning" techniques which make training much more effective.
We begin by defining statistical thinking, contrasting it with statistical tools, and showing how both are necessary. Next we show how statistical thinking appears in an organization and how it can be applied. To do this, we will use an audience participation exercise to demonstrate one of the most important aspects of effective training, called "experiential learning," i.e., learning by doing.
The session will be summarized by reiterating the most important points discussed in the session, and by offering advice on how organizations can get started.
[Lynne B. Hare, Statistical Engineering Div., NIST, Gaithersburg, MD 20899 USA; firstname.lastname@example.org ]
Date created: 6/5/2001