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If a significant proportion of the tubes arent being

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A sticky scale brings Webster’s attention to whether caulking tubes are being properly capped.  If a  significant proportion of the tubes aren’t being sealed, Webster is placing their customers in a messy  situation.  Tubes are packed in large boxes of 144.  Several boxes are inspected and the following number  of leaking tubes is found: Sample Tubes Sample Tubes Sample Tubes 1 3 8 6 15 5 2 5 9 4 16 0 3 3 10 9 17 2 4 4 11 2 18 6 5 2 12 6 19 2 6 4 13 5 20 1 7 2 14 1 Total = 72 Calculate the p-chart three-sigma control limits to assess whether the capping process is in statistical  control. UCL =  LCL = 
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Control Charts for Attributes – c-Charts At Webster Chemical, lumps in the caulking compound cause difficulties in dispensing a smooth bead from  the tube.  Even when the process is in control, there will still be an average of four lumps per tube of caulk.  Testing for the presence of lumps destroys the product, so Webster takes random samples.  The following  are results of the study: Tube # Lumps Tube # Lumps Tube # Lumps 1 6 5 6 9 5 2 5 6 4 10 0 3 0 7 1 11 9 4 4 8 6 12 2 Determine the c-chart two-sigma upper and lower control limits for this process. c =  σ c  =  UCL =  LCL = 
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Process Capability Analysis Webster Chemical’s nominal weight for filling tubes of caulk is 8.00 ounces +/- 0.60 ounces.  The target  process capability ratio is 1.33.  The current distribution of the filling process is centered on 8.054 ounces  with a standard deviation of 0.192 ounces.  Compute the process capability ratio and process capability  index to assess whether the filling process is capable and set properly. Process capability ratio: C Process capability index: C pk  =  Conclusion:
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