hortonsl62 wrote in post #4192009
The odds that you'll get a defective camera are extremely low.
Relax.
We can do a little Six Sigma experiment from the data we have from Shawn's poll:
If you take the data in the focus issues poll as a representative sampling, you can calculate a process sigma.
Adding all the votes reporting 1) no problem or 2) reporting a problem, there are 108 units out of 125 not reporting "defects" (front/back or AI Servo problems), and 17 reporting a "defect". A process sigma calculation using this data yields a process sigma of 2.60. With a process sigma of 2.60, you have a theoretically, an 86.4% chance of receiving a camera with no problems, and a 13.6% chance of receiving a camera with focus problems. The potential buyer can decide if that is a chance that is acceptable to them. 
It should be understood that this is not a very big sample for testing binomial statistics-based attribute data (the attribute being that the camera either has a defect, or it does not), so the confidence levels are not particularly high. If you would like to have 90% confidence, the chances are that the defect rate, in fact, could be as low as 5.9%, due to the sample size we are using.
For example, if we run a Power and Sample Size 1-proportion test in Minitab, assuming for a moment that our observed defect rate of 13.6% is real and we have a sample size of 125, with 90% condifence level you get:
Testing proportion = 0.136 (versus < 0.136)
Alpha = 0.05
Sample Size:125 Power:0.90 Alternative Proportion: 0.0586381
The alternative proportion value of .0586 means that, with our poll sample size, you do not have sufficient sampling power to reject the (null) hypothesis that a 5.9% rate of defects is any different statistically than the observed 13.6% reported defects.
FWIW, if this data was representative, a process sigma of 2.60 is nothing to write home to mother about. 