Refer to Table 56.1 - Factors for Computing Control Chart Limits (3 sigma) for this problem. 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. 3 8 9 10 1 11 9 9 10 8 13 2 10 10 12 11 10 12 10 9 10 9 4 11 9 12 11 10 Samples 5 6 13 9 9 10 8 9 12 12 9 10 7 9 10 11 9 14 15 7 11 8 9 13 13 9 9 9 12 10 9 9 11 9 7 a) Standard deviation of the sampling means = ounces (round your response to three decimal places). b) With z = 3, the control limits for the mean chart are: UCL; = ounces (round your response to three decimal places). LCL; = ounces (round your response to three decimal places). c) The control limits for the R-chart are: UCLR = ounces (round your response to three decimal places). ICLO- Nounces (round your resnonse to three decimal nlaces) Enter your answer in each of the answer boxes. a) Standard deviation of the sampling means = ounces (round your response to three decimal places). b) With z = 3, the control limits for the mean chart are: UCL = ounces (round your response to three decimal places). LCL ounces (round your response to three decimal places). : c) The control limits for the R-chart are UCLR ounces (round your response to three decimal places). LCLR- ounces (round your response to three decimal places). d) Based on the x-chart, is one or more samples beyond the control limits? Based on the R-chart, is one or more samples beyond the control limits? Enter your answer in each of the answer boxes