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#### Mark_Navigator

Hi all,

I've a question about the process performance related to a dimension with form error, like a diameter with minimum, maximum and then average values got.

The minimum and maximum values, have to be aspected to be conformed to smallest extreme and maximum extreme value modeling?

It's not possible to have a normal distribution with min. or max. values? (never found till now)

How can be assumed the analysis if the average values give a normal distribution with very good performance indexes, and extreme values are closer to the limit, and specially one of them are out of specifications?

Simply describing to designer that the average diameter is ok, and the single extreme values not?

So does he have to evaluate if also extreme values are significant for the requirements?

Is this analysis right?

Here as attachment the measures and Mini Tab analysis (all distributions result non normal, due to not sensitive measurement method, but the average distribution can be assumed normal, instead of extreme values assumed as mentioned above).

Thank you for everyone can help me to solve this doubt and gives me higher knowledge.

I've a question about the process performance related to a dimension with form error, like a diameter with minimum, maximum and then average values got.

The minimum and maximum values, have to be aspected to be conformed to smallest extreme and maximum extreme value modeling?

It's not possible to have a normal distribution with min. or max. values? (never found till now)

How can be assumed the analysis if the average values give a normal distribution with very good performance indexes, and extreme values are closer to the limit, and specially one of them are out of specifications?

Simply describing to designer that the average diameter is ok, and the single extreme values not?

So does he have to evaluate if also extreme values are significant for the requirements?

Is this analysis right?

Here as attachment the measures and Mini Tab analysis (all distributions result non normal, due to not sensitive measurement method, but the average distribution can be assumed normal, instead of extreme values assumed as mentioned above).

Thank you for everyone can help me to solve this doubt and gives me higher knowledge.