Sample Tread Wear 1 31 42 28 2 26 18 35 3 25 30 34 4 17 25 21 5 38 29 35 . 6 41 42 36 7 21 17 29 8 CD 32 26 28 9 41 34 33 10 29 17 30 11 26 31 40 12 23 19 25 13 17 24 32 14 43 35 17 15 18 25 29 16 30 42 31 17 28 36 32 18 40 29 31 19 18 29 28 20 22 34 26 Assuming that these data were collected when the manufacturing process was believed to be operating in control, develop the Compute the upper and lower control limits for the R chart. (Round your answers to two decimal places.) UCL - LCL - Compute the upper and lower controllimits for the chart (Round your answers to two decimal places) UCL- LCL RRA UCI Construct the R chart 35 30 to 25 20 15 10 5 0 # # 1 = = = UCL UGI. Sample Range Sample Range west LCL LCL 2.40 8 10 12 14 16 18 20 Sample Number 20 8 10 12 14 16 18 20 Sample Number LCL 2 4 6 8 10 12 14 16 18 30 Sample Number DO 35 UCI Sample Range 25 20 15 10 3 0 LCL 2 4 10 12 14 16 18 20 Sample Number Asuming that these data were collected when the manufacturing process was believed to be operating in control develop the chart Compute the poor and lower contro limits for the chart. (Round your answer to two decimal place) UCL - | | Construct the chart 50 45 30 UCL UCE Sample Mean BU&&888 UCI Sample Mean 8C%8863 Sample Mean 36 1/CE. LCL 15 20 15 ICI 20 8 10 12 14 16 18 20 Sample Number 2 4 6 8 10 12 14 16 18 20 Sample Number 2 8 10 12 14 16 18 20 Sample Number DO UCL 50 45 40 35 30 Sample Mean 20 15 LCL 240 8 10 12 14 16 18 20 Sample Number