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Refer to Table S6/1 Factors for Computing Control Chart Limits (3 sigma) for this problem. Krzy A process that is considered to be in control

Refer to Table S6/1 Factors for Computing Control Chart Limits (3 sigma) for this problem. Krzy A process that is considered to be in control measures an ingredient in ounces. Below are the last 10 samples (each of size n = 5) taken. The population process standard deviation is 1.36. 1 1 9 10 10 10 11 UCL-2.574 ounces (round your response to three decimal places). 2 3 11 14 8 9 11 9 12 11 10 9 a) Standard deviation of the sampling means = 0.608 ounces (round your response to three decimal places). b) With z= 3, the control limits for the mean chart are: 4 10 9 10 11 11 Samples 5 6 11 10 9 11 10 9 10 13 9 10 7 9 10 9 7 9 8 14 15 7 10 7 9 9 9 12 11 8 10 11 12 2873 13
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Fefer ta Jable Sg, 1- Factorsfox Cemputing Control Chart Limits (3 sigma) for this problem. A prosess thet samidered to be in control medsures an ingredient in ounces. Bolow are the last 10 samples feach of size n=5 ) taken. The populasion process standard deviation is 1.36 . () Slandsid deviation of the sampling means = ounces (round your response to three decima places) b) Wer 2=3, the controt imas for the mean chart are UCy = [2.574] ounces (round your response to three decmal places) \begin{tabular}{cccc} \hline SampleSize,n & MeanFactor,A2 & UpperRange,D4 & LowerRange,D3 \\ \hline 2 & 1.880 & 3268 & 0 \\ 3 & 1.023 & 2.574 & 0 \\ 4 & 0.729 & 2.282 & 0 \\ 5 & 0.577 & 2.115 & 0 \\ 6 & 0.483 & 2.004 & 0 \\ 7 & 0.419 & 1.924 & 0.076 \\ 8 & 0.373 & 1.864 & 0.136 \\ 9 & 9.337 & 1.816 & 0.184 \\ 10 & 0.508 & 1.777 & 0.223 \\ 12 & 0.266 & 1.716 & 0.284 \\ \hline \end{tabular}

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