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Refer to Table S6.1 - 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 1.20. = 1 3 4 7 8 9 9 10 11 8 11 8 11 9 13 10 2 10 8 12 12 9 14 9 10 10 8 Samples 5 6 11 11 9 10 8 7 12 12 9 10 9 10 11 10 11 11 7 9 13 15 7 9 7 7 11 12 10 9 13 10 8 11 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). 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? 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) X Definition Sample Size, n Lower Range, D3 . A a) Standar 01 Mean Factor, Az 1.880 1.023 0.729 0.577 0.483 0.419 0.373 0.337 0.308 0.266 2 3 4 5 6 7 8 9 10 12 Upper Range, D4 3.268 2.574 2.282 2.115 2.004 1.924 1.864 1.816 1.777 1.716 b) With Z 0 0 0 0 0 0.076 0.136 0.184 0.223 0.284 U LO c) The con