Question: Refer to Table S6.1 - Factors for Computing Control Chart Limits ( 3 sigma) for this problem. computed. The results were: begin{tabular}{ccc|ccc} hline Sample &

$( 3 sigma) for this problem. computed. The results were: \begin{tabular}{ccc|ccc} \hline$

Sample & SampleMean(in.) & Range (in.) & Sample & Sample Mean (in.)

Refer to Table S6.1 - Factors for Computing Control Chart Limits ( 3 sigma) for this problem. computed. The results were: \begin{tabular}{ccc|ccc} \hline Sample & SampleMean(in.) & Range (in.) & Sample & Sample Mean (in.) Range (in.) \\ \hline 1 & 8.904 & 0.033 & 7 & 8.903 & 0.041 \\ 2 & 8.904 & 0.041 & 8 & 8.907 & 0.034 \\ 3 & 8.889 & 0.034 & 9 & 8.893 & 0.027 \\ 4 & 8.904 & 0.051 & 10 & 8.903 & 0.029 \\ 5 & 8.897 & 0.031 & 11 & 8.901 & 0.039 \\ 6 & 8.899 & 0.036 & 12 & 8.906 & 0.047 \\ \hline \end{tabular} Definition For the given data, the x= inches (round your response to four decimal places). Based on the sampling done, the control limits for 3-sigma x chart are: Upper Control Limit (UCLx)= inches (round your response to four decimal places). Lower Control Limit (LCL)= inches (round your response to four decimal places). Based on the x-chart, is one or more samples beyond the control limits? For the given data, the R= inches (round your response to four decimal places). The control limits for the 3-sigma R-chart are: Upper Control Limit (UCLR)= inches (round your response to four decimal places). Lower Control Limit (LCLR)= inches (round your response to four decimal places). Based on the R-chart, is one or more samples beyond the control limits

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