Step 1: Calculate the mean (X-bar) and range (R) of all individual samples. Step 2: Calculate...

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Step 1: Calculate the mean (X-bar) and range (R) of all individual samples. Step 2: Calculate the grand mean of sample means (X-dbar). Calculate the average range (R-bar). Step 3: Obtain the values for A2, D3 and D4 from the table of factors. Step 4: Plug-in all the values to compute the UCL and LCL for both charts. Step 5: Draw the X-bar chart and R-chart. Application 13.3 Create the X-bar and R-charts for the following 25 samples. What conclusions can you draw? 14 15 16 17 2285 18 19 20 Sample Number 1 21 22 2 3 9 10 11 12 13 4 5 6 7 8 Insert Table Chart Text Shape Media Comment Item 1 Item 2 Item 3 Item 4 Item 5 10.60 9.90 10.20 10.40 10.30 9.98 10.25 10.05 10.23 10.33 9.85 9.90 10.20 10.25 10.15 10.20 10.10 10.30 9.90 9.95 10.50 10.30 10.30 9.90 10.40 10.10 10.24 10.30 10.30 10.20 10.24 10.10 10.30 10.20 9.90 10.20 9.98 10.10 10.30 10.40 10.30 10.20 10.60 10.50 10.10 10.30 10.40 10.50 10.10 10.20 9.90 9.50 10.20 10.30 10.35 10.10 10.36 10.50 9.80 9.95 10.20 10.50 10.70 10.10 9.90 10.40 10.20 10.60 10.50 10.30 10.54 10.30 10.40 10.55 10.00 10.20 10.60 10.15 10.00 10.50 10.20 10.40 10.60 10.80 10.10 9.90 9.50 9.90 10.50 10.00 10.60 10.30 10.50 9.90 9.80 10.60 10.40 10.30 10.40 10.20 9.90 9.60 10.50 10.10 10.60 9.95 10.20 10.50 10.30 10.20 Sample Mean Range (X-bar) (R) 10.28 10.17 10.07 10.09 10.31 10.16 10.12 10.27 0.30 10.34 0.50 10.30 0.40 10.05 0.85 10.14 0.70 10.28 0.80 10.40 0.40 10.36 0.55 10.29 10.42 9.96 0.70 0.35 0.40 0.40 0.30 0.40 0.50 MacBook 0.60 0.70 1.00 10.22 0.80 10.38 0.40 10.14 1.00 10.23 0.55 Collaborate 25 16 17 18 19 20 21 7222 23 24 10.40 10.55 10.00 10.20 10.15 10.00 10.50 10.20 10.60 10.80 10.10 9.90 9.50 9.90 10.50 10.00 10.60 10.30 10.50 9.90 9.80 10.60 10.40 10.30 10.40 10.20 9.90 9.60 10.50 10.10 10.60 9.95 10.20 10.50 10.30 10.20 10.20 9.50 9.60 9.80 10.30 10.30 10.60 10.30 9.90 9.80 10.30 10.60 10.40 9.90 10.30 10.60 3 لیا 10.36 10.29 9.90 10.10 10.42 9.96 10.22 10.38 10.14 10.23 0.55 0.60 0.70 1.00 0.80 0.40 1.00 0.55 MGMT 300-Operations Management | Cherry Singhal Bo Fo Step 1: Calculate the average proportion defective (p-bar). Calculate the standard deviation of the proportion defective (Sp). Step 2: Plug-in all the values to compute the UCL and LCL. Step 3: Draw the p-chart. Application 13.4 An insurance company wants to design a control chart to monitor whether insurance claim forms are being completed correctly. Over the past 10 days, the company collected data on the number of incorrectly completed claim forms. Create a p-chart so that the company can use it to see if improvements in the design of the form are effective. The data is shown below. Assume z-3. Sample 1 2 3 4 S 6 7 8 9 10 Sample Size (n) 100 100 100 100 100 100 100 100 100 100 No. of Defects in Sample 4 3 5 0 8 1 3 4 2 P Step 1: Calculate the mean (X-bar) and range (R) of all individual samples. Step 2: Calculate the grand mean of sample means (X-dbar). Calculate the average range (R-bar). Step 3: Obtain the values for A2, D3 and D4 from the table of factors. Step 4: Plug-in all the values to compute the UCL and LCL for both charts. Step 5: Draw the X-bar chart and R-chart. Application 13.3 Create the X-bar and R-charts for the following 25 samples. What conclusions can you draw? 14 15 16 17 2285 18 19 20 Sample Number 1 21 22 2 3 9 10 11 12 13 4 5 6 7 8 Insert Table Chart Text Shape Media Comment Item 1 Item 2 Item 3 Item 4 Item 5 10.60 9.90 10.20 10.40 10.30 9.98 10.25 10.05 10.23 10.33 9.85 9.90 10.20 10.25 10.15 10.20 10.10 10.30 9.90 9.95 10.50 10.30 10.30 9.90 10.40 10.10 10.24 10.30 10.30 10.20 10.24 10.10 10.30 10.20 9.90 10.20 9.98 10.10 10.30 10.40 10.30 10.20 10.60 10.50 10.10 10.30 10.40 10.50 10.10 10.20 9.90 9.50 10.20 10.30 10.35 10.10 10.36 10.50 9.80 9.95 10.20 10.50 10.70 10.10 9.90 10.40 10.20 10.60 10.50 10.30 10.54 10.30 10.40 10.55 10.00 10.20 10.60 10.15 10.00 10.50 10.20 10.40 10.60 10.80 10.10 9.90 9.50 9.90 10.50 10.00 10.60 10.30 10.50 9.90 9.80 10.60 10.40 10.30 10.40 10.20 9.90 9.60 10.50 10.10 10.60 9.95 10.20 10.50 10.30 10.20 Sample Mean Range (X-bar) (R) 10.28 10.17 10.07 10.09 10.31 10.16 10.12 10.27 0.30 10.34 0.50 10.30 0.40 10.05 0.85 10.14 0.70 10.28 0.80 10.40 0.40 10.36 0.55 10.29 10.42 9.96 0.70 0.35 0.40 0.40 0.30 0.40 0.50 MacBook 0.60 0.70 1.00 10.22 0.80 10.38 0.40 10.14 1.00 10.23 0.55 Collaborate 25 16 17 18 19 20 21 7222 23 24 10.40 10.55 10.00 10.20 10.15 10.00 10.50 10.20 10.60 10.80 10.10 9.90 9.50 9.90 10.50 10.00 10.60 10.30 10.50 9.90 9.80 10.60 10.40 10.30 10.40 10.20 9.90 9.60 10.50 10.10 10.60 9.95 10.20 10.50 10.30 10.20 10.20 9.50 9.60 9.80 10.30 10.30 10.60 10.30 9.90 9.80 10.30 10.60 10.40 9.90 10.30 10.60 3 لیا 10.36 10.29 9.90 10.10 10.42 9.96 10.22 10.38 10.14 10.23 0.55 0.60 0.70 1.00 0.80 0.40 1.00 0.55 MGMT 300-Operations Management | Cherry Singhal Bo Fo Step 1: Calculate the average proportion defective (p-bar). Calculate the standard deviation of the proportion defective (Sp). Step 2: Plug-in all the values to compute the UCL and LCL. Step 3: Draw the p-chart. Application 13.4 An insurance company wants to design a control chart to monitor whether insurance claim forms are being completed correctly. Over the past 10 days, the company collected data on the number of incorrectly completed claim forms. Create a p-chart so that the company can use it to see if improvements in the design of the form are effective. The data is shown below. Assume z-3. Sample 1 2 3 4 S 6 7 8 9 10 Sample Size (n) 100 100 100 100 100 100 100 100 100 100 No. of Defects in Sample 4 3 5 0 8 1 3 4 2 P

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To create the Xbar and Rcharts we need to follow the steps outlined Lets process the given information step by step Step 1 Calculate the mean Xbar and ... View the full answer