A) Here we have given group wise data set and have to construct a control chart with the UCL, LCL and Central Line for the X Bar and R chart where n = 5 (size of the group).
Using MINITAB we can easily construct a control chart. (Because if we have statistical software like- MINITAB then there is no need to find the UCL, LCL & CL manually.
Steps using which you can construct the above control chart is-
First enter the data in this way-
Now, you have to follow this steps-
After that a dialog box will be displayed on the screen like-
In this box first you have to choose observations for a subgroup are in one row of columns then in 2nd box we have to enter all the variables and then click OK. You will get-
In the above chart we see that each points are falling between UCL and LCL. Hence we may conclude that the process is under control.
B) In this part it has not mentioned that what kind of control chart are you looking for so i have simply construct the same control chart which i have drawn in the first part of this question.
Hence we can similarly construct the control chart for the another given data set-
Here we have also given n = 5.
Since in first part i have already discussed the steps to construct the X-Bar and R control chart then there is no need to repeat the steps again. Please follow the same steps then - we get that
In the above chart we can see that each points are in between UCL and LCL. Hence we may conclude that the process is under control.
Note: In both part of the problem you can also construct the control chart manually. But when we find UCL, LCL and CL manually then we will face many complexity because in that case we need to find the many estimate so it's better to construct & find the limits using MINITAB or some other statistical software.
22. A) Use the following data to construct a Control Chart with the UCL, LCL and...
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1. What is the UCL for the XBar chart based on the data below, with n=4, and ten set of samples for the weight of soft drinks are given. USL for the product is 355 g and LSL is 345. Daily production is 15000 units. Sample # Observations 1 352 348 350 351 2 351 352 351 350 3 351 346 342 350 4 349 353 352 352 5 351 350 351 351 6 353 351 346 346 7 348...
I will rate 2. A process has a X-bar control chart with UCL-17.4. LCL-12.79 using a 3-sigma limit. The subgroup sample size is 3. (a) Estimate the standard deviation of the process, sigma hat. (6 pts) (b) Suppose that the process mean shifts to 13. Find the probability that this shift will be detected on the next sample. (8 pts) (c) Calculate the average run length (ARL) before detecting the shift. (6 pts)
A bank collects data on the number of loan applications filled incorrectly each day to construct a np-chart. Data from the previous 10 days indicate the following number of loan applications filled incorrectly per day in a sample size of 25 per day. Day Incorrect loan applications/day 1 5 2 7 3 6 4 5 5 8 6 4 7 4 8 5 9 5 10 6 Question 1. Calculate the average number of incorrect loan applications per sample and...
2. A process has a X-bar control chart with UCL=17.4, LCL=12.79 using a 3- sigma limit. The subgroup sample size is 3. (a) Estimate the standard deviation of the process, sigma hat. (6 pts) (b) Suppose that the process mean shifts to 13. Find the probability that this shift will be detected on the next sample. (8 pts) (c) Calculate the average run length (ARL) before detecting the shift. (6 pts)
1st*variability is: in control/out of control 2nd*no samples fall/one/two/more 3rd* in control/out of control The following are quality control data for a manufacturing process at Kensport Chemical Company. The data show the temperature in degrees centigrade at five points in time during a manufacturing cycle. X Sample R 1 95.72 1.0 95.24 2 0.9 0.9 95.18 95.42 0.4 4 5 95.46 0.5 95.32 1.1 6 7 95.40 0.9 95.44 0.3 9 95.08 0.2 10 95.50 0.6 11 95.80 0.6 12...