Refer to Table 96.1 - Factors for Computing Control Chart Limits (3 sigma) for this problem. Twelve samples, each containing five parts, were taken from a process that produces steel rods at Emmanual Kodzi's factory. The length of each rod in the samples was determined. The results were tabulated and sample means and ranges were computed. The results were: Sample 1 2 3 4 5 6 Sample Mean (in.) 12.704 12.702 12.689 12.706 12.697 12.701 Range (in.) 0.033 0.041 0.034 0.051 0.031 0.036 Sample Sample Mean (in.) Range (in.) 7 12.701 0.041 8 12.707 0.034 9 12.695 0.027 10 12.703 0.029 11 12.701 0.039 12 12.700 0.047 For the given data, the x = inches (round your response to four decimal places). - X Definition Sample Size, n Lower Range, D 2 3 4 5 6 7 8 9 10 12 Mean Factor, A2 1.880 1.023 0.729 0.577 0.483 0.419 0.373 0.337 0.308 0.286 Upper Range, D4 3.268 2.574 2.282 2. 115 2.004 1.924 1.864 1.816 1.777 1.716 0 0 0 0 0 0.078 0.136 0.184 0.223 0.284 Print Done For the given data, the 3 - inches (round your response to four decimal places). Based on the sampling done, the control limits for 3-sigmax chart are: Upper Control Limit (UCL) - inches (round your response to four decimal places). Lower Control Limit (LCL:) - inches (round your response to four decimal places). Based on the i-chart, is one or more samples beyond the control limits ? For the given data, the Rinches (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