control limits
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- This topic has 8 replies, 6 voices, and was last updated 17 years, 7 months ago by
Johnny Guilherme.
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November 16, 2004 at 9:20 pm #37556
paul cohenParticipant@paul-cohenInclude @paul-cohen in your post and this person will
be notified via email.Can somebody please help i have 30 attribute readings 1 for each day.Because i dont have any sub groups i dont understand how to work out the control limits the readings are as follows
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242Thanks in advance
0November 16, 2004 at 10:22 pm #110841
Ken FeldmanParticipant@DarthInclude @Darth in your post and this person will
be notified via email.What exactly are these measurements of? Are they defectives taken from a constant sample group (use a np chart)? Are they defects taken from a constant lot (use a c chart)? You say they are attribute otherwise you could probably use an I/MR chart if they were continuous measures.
0November 17, 2004 at 8:16 am #110851
[email protected]Participant@[email protected]Include @[email protected] in your post and this person will
be notified via email.Paul
Why not just take that 30 samples and divide it by your preferred sample size i.e. 5 or 4 etc. You then say take a sample of 5 over 5 days or 4 over days. The statistical tables dont have a sample of 1 so I dont know how you would then solve this problem. However if you the do as i suggested above, then for future charting you will have to pull the 4 or 5 etc samples every 5th or 4th day etc. I am not sure if this is of any help to you.
Johnny0November 17, 2004 at 3:14 pm #110865
Ken FeldmanParticipant@DarthInclude @Darth in your post and this person will
be notified via email.Whoa Johnny, bad advice. You don’t create rational subgroups by artificially grouping single data points. They are called rational subgroups because there was a reason for collecting them that way. Assuming they were actually individual data points, you use an I/MR chart with the table factor for n=2 since as you point out, there is no factor for 1. The thinking being that in order to get the Moving Range you take the difference between two consecutive values. Let’s keep it simple and not ask why the table has higher values as well. Plus, Paul said the data was attribute values so we don’t really know what they are. I asked him whether they might be defectives or defects. That would allow us to use np and c charts.
0November 17, 2004 at 3:22 pm #110866Paul, you say you have attribute data (Go/no-go, pass/fail) but then you provide numbers. This looks like variables data. Please tell us: what the measurements are of, over what time period the data was taken, and how many samples were taken at a time. We can then provide the calculations.
Thanks,0November 17, 2004 at 4:33 pm #110868The readings are of air pressure which is recorded once a day over a thirty day period.one reading is recorded each day.
thanks for your help
Paul0November 17, 2004 at 5:24 pm #110869
Ken FeldmanParticipant@DarthInclude @Darth in your post and this person will
be notified via email.If it is air pressure then you have a simple I/MR chart. Send me your email address and I can forward the control chart. [email protected]
0November 18, 2004 at 3:19 am #110899
paul cohenParticipant@paul-cohenInclude @paul-cohen in your post and this person will
be notified via email.my e-mail is [email protected]
0November 18, 2004 at 5:15 am #110902
Johnny GuilhermeParticipant@Johnny-GuilhermeInclude @Johnny-Guilherme in your post and this person will
be notified via email.You are right. Going back to the original posting I noticed Paul mentioned attribute type data and not variable data. I saw the numbers he posted and assumed variable data. Obviously then using np or c type charts would be the answer. Thanks for pointing this out to myself. I am still on a learning curve, having done some quality engineering and having been exposed to a lot of the tools but lacking application.
regards
Johnny0 -
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