I’ve taught several courses on Quality Control, and the best part is the practice exercises.
At the American Society of Andrology’s lab workshop in 2005, I used a blind paper cutting exercise described in
- Stone, Richard A. (1998) The blind paper cutter: Teaching about variation, bias, stability, and process control. The American Statistician, 52, 244-247.
It worked very well, and I wanted to use it again for the 2006 workshop. But unfortunately, many of the people attending the new workshop will have attended the previous workshop. So I have to find a new practice exercise.
One possible exercise involves the production of paper helicopters. You cut and fold a sheet of paper so that it has “helicopter blades” and drop it from a fixed height. Measure how long it takes to reach the ground. Now, the question becomes “How long and how reliable are the flight times?” So you could drop the same helicopter 20 times and draw a control chart of the results. Alternately, you could try to redesign the helicopter (wider or thinner blades) to try to optimize the flight times.
This exercise is described in
- Teaching Statistics. A Bag of Tricks. Gelman A, Nolan D (2002) Oxford, England: Oxford University Press. ISBN: 0198572247. [BookFinder4U link]](http://www.bookfinder4u.com/detail/0198572247.html)
Here is a picture showing how to prepare the helicopter from page 260 of their book.
Another approach would use a catapult and try to optimize the distance that the object is thrown. You can buy a very nice catapult that was designed for this sort of experiment at
but something at a toy store might work reasonably well on a limited budget.
The cat-a-pult product described in the last link formed the basis of a team building exercise as described in
Some other possible ideas for quality control exercises might come from
Easterling, Robert G. (2004) Teaching experimental design. The American Statistician, 58, 244-252.
Sparks, Ross S. and Field, John B. F. (2000) Using Deming’s funnel experiment to demonstrate effects of violating assumptions underlying Shewhart’s control charts. The American Statistician, 54, 291-302.
Brady, James E. and Allen, Theodore T. (2002) Case study based instruction of DOE and SPC. The American Statistician, 56, 312-315.
Lawrance, A. J. (1996) A design of experiments workshop as an introduction to statistics. The American Statistician, 50, 156-158.
I have not had a chance to look at these four papers in detail, yet.