Teaching statistics to engineers is a challenging task. First, lacking space, many engineering curricula include few or no statistics courses, and these are often packed and highly theoretical. Thence, students don't perceive statistics as a part of their engineering toolkit, but as a nuisance to endure. On the other hand, engineering is a two-part endeavour. One consists in building or modifying systems. The second is measuring/assessing system performances, which are nothing but random variables. Therefore, there can be no engineering work without statistical analyses. In this paper we discuss and assess ways to enhance the insufficient statistical education that many engineers receive once they have left college. Such methods, designed for practicing professionals include (print and electronic) materials produced for self-study, short training courses and the development of industry-academe organizations to help practicing engineers by "looking over their shoulders." Finally, a selection of related free Web Sites are presented.
The CAUSE Research Group is supported in part by a member initiative grant from the American Statistical Association’s Section on Statistics and Data Science Education