Re: P Values
Thank you so much for getting back to me so fast.
The customer is saying just the opposite. his statement is that the lower the P value the higher the probability my reported values are .005. The customer states that anything less than a .05 is suspect. I'm incline to agree with you however I have no formal reference to argue.
Perhaps my response wasn't clear; what I meant to say was that lower p-values indicate a higher probability that there is something non-random going on. A p-value of 0 would mean, theoretically, that there is no chance that some phenomenon
x was due to random causes, while a p-value of 1 would indicate that it was certain that
only random causes were at work. In actual practice the number will almost always be >0 and <1, however.
While I don't know anything about the data your customer was evaluating, or whether his methods were kosher, if his hypothesis testing were on the up-and-up and resulted in a p-value of .005, it's pretty clear that something is wrong with your results. If you can give more information about the data being evaluated, we can be more helpful.
To make matters worse he is also suggesting that are gaging method is inadequate. I know the rule of thumb is to use a gage that has a resolution 10 X the part feature and thats all and well however when your dealing with tenths and millions it is near impossible to find a gage that has a .00001 resolution. Are there any acceptions to this rule?
If there are exceptions, the customer makes them--it's his rules you're dealing with. What's the specification, and what are you using to measure it? This is another of those instances where contract review would have been helpful; part of the
APQP process is reviewing the specifications to make sure that you have the proper gaging in place. In a case like this, where you're not sure whether what you're using is adequate, it's best to ask the customer what
they use to measure the feature in question, and to duplicate that method.
Once again thank you so much for your help.
Glad to help--that's why we're here.