None

So if quantization error is the problem and the data passes the fat-pencil test, is it acceptable to evaluate as normal data?
Thanks very much

Lain,
that is exactly how I would describe it.  All of the data points appear to be stacked in column’s instead of continuously distributed.  And the spread of the data is very narrow – 6.3545 to 6.3560or thereabouts.
Thanks

Thanks for the input.  I would expect a normal distribution.  It seems like the data really isn’t continuous but is “bucketed” into decimals of .0005, .0010,.0015,.0020
I have to meet with who collected the data to ask, but I suspect they rounded or perhaps don’t have a gauge of proper discrimination.

This process was just brought to our company seven months ago.  We are now expected to save a few million per group, however, the individual groups have had no six sigma training.  We are a service industry with several departments within.  It was simple for the departments who produce the final product to identify and achieve savings, however wh…[Read more]

None of your formulas can be the same as the average, mathematically if you subtract

Plackett Burman DOEs are also available when appropriate (many factors – screening design).
 

Interested in your model.  I would be greatful if you can email it.
Thanks,