The 'party line' is to take the first 30 or so points, calculate
limits, throw out any outside ones & add more at the end, until you
have 30 points, all of which are inside the control limits.  For both
X-bar and R, if you are doing this sort of chart.

Based on (approximate) probabilities, there 3 chances in 1000
(p=2*0.0017) that a point from a well behaved population will fall
outside.  so for 30 points, there are 90 chances in 1000, or 9 in 100
or about 1 in 10 that one of the points you threw out in fact comes
from a well behaved population, just like the other points in your
30.  Which one?  Can't tell.

Selecting points to include in the 'base line' group is a trade-off,
and Rich Ulrich is right.  An early outsider point is Nature's way of
telling you to look closely at your data and process.  Maybe it is
less stable than you thought.

Since your objective is to make the process more stable and
consistent, you will be doing this a good deal anyway, until the
assignable cause issues are removed.

Have a good trip...

Jay

MrTequila wrote:

> Hi all, hope this is the right place.
>
> i was just wondering what you should do when you establish some
> control limits but some of the data points you've just used are
> outside of the limits you just established?
>
> should you write them off as bad, leave them or go back and see/fix
> the problem?
>
> any help appreciated, hope the above makes some sense.
>
> -steve-
>
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--
Jay Warner
Principal Scientist
Warner Consulting, Inc.
4444 North Green Bay Road
Racine, WI 53404-1216
USA

Ph: (262) 634-9100
FAX: (262) 681-1133
email: [EMAIL PROTECTED]
web: http://www.a2q.com

The A2Q Method (tm) -- What do you want to improve today?






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