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- A can filling process at a beverage manufacturing factory is assumed to be in control with limits of 84 ±3 had sample averages for the x-bar chart of the following:87.1,87, 87.2, 89, 90, 88.5, 89.5, and 88. Which of the following statement ?below are correct Not enough information to determine .a O None is correct b O Process mean is in-control .c O Process mean is out-of-control .d O أخل اختياري 4) E ENG acerA can filling process at a beverage manufacturing factory is assumed to be in control with limits of 89 ± 4 had sample averages for the x-bar chart of the following: 87.1,87,87.2, 89, 90, 88.5, 89.5, and 88. Which of the following statement below are correct? O a. None is correct O b. Process mean is out-of-control Not enough information to determine O d. Process mean is NOT out-of-control NEXT PAGE PAGEAdministering new bank accounts is intended to average 15 minutes each. Five samples of four observations each have been taken. Use the sample data in concurrence with Table 2.3 to create upper and lower control limits for both a mean chart and a range chart. Do results propose that the procedure is in control? Sample 1 Sample 2 Sample 3 Sample 4 Sample 5 11.2 11.3 10.7 10.9 10.8 10.9 10.8 10.9 11.3 11.2 10.8 10.9 10.9 11.1 11.3 11.1 11.4 11.1 11.5 10.7 Total: 44 44.4 43.6 44.8 44
- control charts for means and rangers. processing times for new accounts at bank are shown in the following table. five samples of four observations each have been taken. use the sample data in conjunction with table 10.3 to construct upper and lower control limits for both mean chart and range chart. do the result suggest that the process is in control? sample 1 sample 2 sample 3 sample 4 sample 5 10.2 10.3 9.7 9.9 9.8 9.9 98 9.9 10.3 10.2 9.8 9.9 9.9 10.1 10.3 10.1 10.4 10.1 10.5 9.7 40.0 40.4 39.6 40.8 40.0A can filling process at a beverage manufacturing factory is assumed to be in control with limits of 89 plus/minus 4 had sample averages for the x-bar chart of the following : 87.1, 87, 87.2, 89, 90, 88.5, 89.5 and 88. Which of the following statement below are correct? a. None is correct b. Not enough information to determine c. Process mean is out -of-control d . Process mean is NOT out-of-controlQ4) Ten samples of size four were taken from a process, and their weights measured. The sample averages and sample ranges are in the following table. Construct and plot an x-bar and R-chart using these data. Is the process in control? Sample Mean Range 1 20.01 0.45 2 19.98 0.67 3 20.25 0.30 4 19.90 0.30 5 20.35 0.36 6 19.23 0.49 7 20.01 0.53 8 19.98 0.40 9 20.56 0.95 10 19.97 0.79
- Jamison Kovach Supply Company manufactures paper clips and other office products. Although inexpensive, paper clips have provided the firm with a high margin of profitability. Sample size is 200. Results are given for the last 10 samples. Sample 1 2 3 4 5 6 7 8 9 10Defectives 5 8 3 6 12 5 5 4 1 11 The type of control chart that is best to monitor this process is p−chart a) Establish the control limits to include 99.73% of the random variation in defectives. UCLp = ?A process that is assumed to be in control with limits of 88 ±4 had sample averages for the x-bar chart of the following: 87.1,87, 87.2, 89, 90, 88.5, 89.5, and 88. Which of the following statement below are correct? a. Process mean is out-of-control b. Not enough information to determine С. Process mean is NOT out-of-control O d. None is correct1. The data shown in Table 1 are x and R values for 20 samples of size n= 5 taken from a process producing bearings. The measurements are made on the inside diameter of the bearing, with only the last three decimals recorded (i.e., 31.6 should be 0.50316). Please show all your work for full credit. (a) Set up x and R charts on this process. Does the process seem to be in statistical control? If necessary, revise the trial control limits. (b) Assume that diameter is normally distributed. Estimate the process standard deviation. Sample R Sample R 1 31.6 4 11 29.8 4 33.0 3 12 34.0 4 35.0 4 13 33.0 10 4 32.2 4 14 34.8 4 5 33.8 38.4 31.6 15 35.6 7 3 16 30.8 7 4 17 33.0 5 8 36.8 10 18 31.6 3 9. 35.0 15 19 28.2 9 10 34.0 6 20 33.8 Table 1: Bearing Diameter Data
- An X-bar control chart designed with L=3 and constant sample size "n" has UCL=130.013 and LCL=125.987, if the process is under control and its standard deviation is sigma=1.5, what is the sample size "n"? not enough information 4 6 10 8.Given the following data from 7 days. Compute, CL, UCL, and LCL of Control Charts for the following data. Day Sample Values (Group Sample Size = n = 4) 1 22 24 23 26 2 25 25 28 26 3 24 25 27 27 4 27 23 29 28 5 26 27 23 25 6 27 25 23 28 7 27 28 28 22The number of defectives for 11 samples is shown below. Determine whether the process is in control or not using 2 types of run tests (above / below and up / down)and the control range (-2,2). The median is 21 Sample No Of Defectives 1 22 2 17 3 19 4 25 5 18 6 20 7 17 8 23 9 23 10 24