A year ago we presented a talk on AMPTIAC, an IIT Research Institute operated. DoD Information and Analysis Center (IAC), had started the develoment of statistical training materials at several levels. We will present an update on how such materials have been used and what impact have they produced among the materials engineers and other practitioners. First, the AMPTIAC newsletter published a series of statistics articles. Then, after the strong interest that newsletter readers showed, a statistics Q & A section (Forum) was introduced in the AMPTIAC web page. The interest that all the statistical material aroused in the materials engineering community justified that the newsletter series of four articles be further developed into a State of the Art Report (SOAR). This yielded a book of 180 pages that discusses the practical aspects of statistical analysis of materials for materials engineers. The SOAR was then used, in the Fall of 1999 semester, as the second (readings material) textbook in ECS526, a masters level engineering statistics course, at Syracuse University. ECS526 is taken (as is the Masters program) mainly by practicing engineers. Now the SOAR is also being used as the main textbook for a three-day, intensive general statistics course for practicing materials engineers. In addition, the short course is currently being considered as a potential DL one, taught through the internet. Neither SOAR, the series of newsletter articles, nor the short intensive course have developed any new statistical method. However, they have attracted the attention of the engineers. The main features of such statistics materials are all educational: (i) the manner in which statistical materials are presented to the students, maintaining a rigorous but still practical approach and (ii) the emphasis that the material places on statistical thinking rather than on statistical crunching or on symbolic manipulations. In our talk, examples of the course presentations, of its support material and an overview of its content and coverage will be discussed. Then, some practical experiences in their use with practitioners will be shared. Finally, the serious repercussions of a comprehensive statistical professional training curriculum (or lack thereof) for the improvement of U.S. industrial research and production activities will also be discussed.