QUESTIONS

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 1.64. 1 9 9 10 8 13 7 9 10 2 11 10 12 11 11 3 12 9 10 10 9 Samples 5 11 11 11 9 8 9 11 11 9 9 4 9 9 11 10 11 8 13 15 7 10 7 9 7 7 13 12 10 10 12 10 7 12 11 9 8 a) Standard deviation of the sampling means = ounces (round your response to three decimal places). Enter your answer in the answer box and then click Check Answer. ? 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. 4 9 1 10 9 10 8 12 2 11 8 11 11 9 9 3 14 9 9 9 10 9 12 9 11 Samples 5 6 12 9 11 10 10 9 11 12 10 9 7 9 9 10 11 8 10 8 14 15 9 9 7 9 9 7 13 12 8 10 10 11 8 7 12 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: UCL; = 11.864 ounces (round your response to three decimal places). LCL; = 8.216 ounces (round your response to three decimal places). c) The control limits for the R-chart are: UCLR = 8.883 ounces (round your response to three decimal places). LCLR = 0.000 ounces (round your response to three decimal places). d) Based on the x-chart, is one or more samples beyond the control limits? No Based on the R-chart, is one or more samples beyond the control limits? No Question is complete. Tap on the red indicators to see incorrect answers