bbusa

One method is to compare the Linearity of the Old System & New System.
Linearity is a measure of the bias wrt to the operating range of the gage

Apart from all the good advice you have , I think you should first check if your approach is right (i.e Test Vs Control Group) for the metrics mentioned .

In an organizational context , I feel it will be very difficult to create two independent groups such as these while keeping many other factors constant .

Just my opinion

Kappa method is for nominal data ( 2 categories) . I thought the correct method ordinal data is the ICC – but it is not going to be easy .

Just my opinion

“I’ve run the regression test mentioned above, but it’s way over my head and analyzing the results is even more over my head.”

Why the hell did you run a reg. if the analysis was way over your head?

BTW : Your English is funny , too . You don’t need to speak Queen’s English to understand regression !

Thanks . The quote is very much my own. :cheer: :cheer:

The only rule I have been taught is

“Thou shalt not tamper with data” .

The data belongs to the process , not to you :S

why do yu take up tasks which are beyond you ?

SOS

The questions you have asked here have nothing to do with Box and Whisker !

1. It is just a ratio hence doesn’t matter
2. I use Crystal Ball for sensitivity analysis

by zero I mean ‘0’

Sshh :

The VOC has been finalized – armchair style . Doesn’t matter what the customers think / feel . Now get on with the game – take it or leave it ! :woohoo:

Don Wheeler calls is Lepkurtophobia . Following is an excerpt of his article publised
in QD

——–

The symptoms of leptokurtophobia are (1) routinely asking if your data are normally distributed and (2) transforming your data to make them appear to be less leptokurtic and more “mound shaped.”

——————-

Don’t worry too m…[Read more]

Vinayak

I have come to learn after years of experience that Lean & IT are paradoxical . Lean in IT challenges the basic revenue model on which most IT businesses are built , At best, it exists as a jargon in most IT processes / functions

However , you may try to apply Lean in IT support services .

One of the best books in Lean is…[Read more]

Try Logistics Regression –

pl clarify what exactly the Xs are . You may need to define dummy variables

Thank you . refer to DC Montgomery’s Statistical Quality Control for more enlightenment !

Quote

…..Pp & Ppk are a waste of engineering and management effort – they tell you nothing . Kotz and Lovelace ( 1998 ) – — they refer to the mandated use of of Pp & Ppk through quality standards or industry guidelines as undiluted Statistical…[Read more]

I am confused !

pp , ppk are meaningless indices

You should refer to Sampling Plans / OC curves for attributes .

The sample size is a function of Pa ( probability of acceptance) , the lot fraction defective .

For the same measurement system , I may end up with different % tol results for two different customers –

What do I do ? Leave the MS as it is or adjust ?

Just curious

If you look closely at the formula ( use Minitab Help ) , you will realize they are not very different ,except that the % tolerance uses spec limits . For obvious reasons , if wide tolerances are considered , you will end up reporting a low Gage R & R – Probability of a Type II error will be high

Others on this forum may not agree , but I…[Read more]

J

Sorry for joining this discussion late

My first point is : With too little process knowledge how did you identify the 6 critical factors

My opinion : dump the PB and go for a simple FF design – first without the center points. I don’t think the PB has any advantage over the Res III design in your case

bbusa