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Re: Any good way to deal with non-normal distributed data for Control

To: jmp-l@lists.biostat.wustl.edu
Subject: Re: Any good way to deal with non-normal distributed data for Control Limit/Cpk analysis?
From: "Michael Benson" <mbenson@one.net>
Date: Tue, 03 Mar 2009 11:42:19 -0500
In-reply-to: <25e89e790903030659g6ed9dbfbg5ce7343136330667@mail.gmail.com>
References: <25e89e790903030646y1ede3af4r216aa1586bb731d1@mail.gmail.com><429947.79938.qm@web30805.mail.mud.yahoo.com> <25e89e790903030659g6ed9dbfbg5ce7343136330667@mail.gmail.com>
Using Help>Index look for Fit Distribution. You will find info on trying
various continuous distributions. Using Help>Index look for Capability
Analysis to find info on calculating Cpk for non-normal distributions.

Michael

----- Original message -----
From: "Fred Zhang" <ieaggie2009@gmail.com>
To: jmp-l@lists.biostat.wustl.edu
Date: Tue, 3 Mar 2009 09:59:59 -0500
Subject: Re: [jmp-l] Any good way to deal with non-normal distributed
data for  Control Limit/Cpk analysis?

any more detailed comments how to do that in JMP?



On Tue, Mar 3, 2009 at 9:52 AM, chem engineer
<chemical_engr@yahoo.com>wrote:

>  you will need to do a data transform
>
>  ------------------------------
> *From:* Fred Zhang <ieaggie2009@gmail.com>
> *To:* jmp-l@lists.biostat.wustl.edu
> *Sent:* Tuesday, March 3, 2009 9:46:21 AM
> *Subject:* [jmp-l] Any good way to deal with non-normal distributed data
> for Control Limit/Cpk analysis?
>
> We have so many different types of non-normal distributed data from the
> practical scenarioes.
>
> Now we try to determine the control limit, the Cpk, or the meaningful mean
> and deviation.
> So any idea how we can do in JMP to propose good way to achieve the above
> analysis?
> All data are continuous variable type.
> Sometimes the data are always falling into limited categories,
> or they have a very long rail to the right or the left,
> or there are a very few points far away from the others although they are
> acceptale and reasonable,
> etc.
>
> Thanks a lot.
>

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