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control limits

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  • #37556

    paul cohen
    Participant

    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

    192

    239

    246

    231

    218

    214

    201

    242

    226

    214

    196

    207

    229

    192

    203

    195

    221

    245

    219

    211

    217

    205

    209

    205

    228

    221

    250

    255

    205

    242Thanks in advance

    0
    #110841

    Ken Feldman
    Participant

    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. 

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    #110851

    [email protected]
    Participant

    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.
    Johnny

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    #110865

    Ken Feldman
    Participant

    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.

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    #110866

    Whitehurst
    Participant

    Paul, 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,

    0
    #110868

    Sorour
    Participant

    The 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
    Paul

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    #110869

    Ken Feldman
    Participant

    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]
     
     

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    #110899

    paul cohen
    Participant

    my e-mail is [email protected]

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    #110902

    Johnny Guilherme
    Participant

    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
    Johnny

    0
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