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Q3. Find the control limits that should be used on the x and R control charts for a process that has the following data. If the quality characteristic is normally distributed and the specification limits are USL = 130 and LSL = 75 kg, estimate the fraction nonconforming. Can the process meet specifications? Samples 1 2 3 4 1 95 90 93 120 2 76 81 81 83 3 107 80 87 95 4 83 77 87 90 5 105 93 95 103 6 88 76 95 97 7 100 87 100 103 8 97 91 92 94 9 90 91 95 101 10 93 79 91 94 11 106 97 100 90 12 89 91 80 82 13 92 83 95 75 14 87 90 100 98 15 97 95 95 90 16 82 106 99 101 17 100 95 95 90 18 81 94 97 90 19 98 101 87 89 20 78 96 100 72 21 91 91 87 89 22 76 91 106 80 23 95 97 100 93 24 92 99 97 94 25 92 85 90 90

          Q3. Find the control limits that should be used on the x and R control charts for a process that has the following data. If the quality characteristic is normally distributed and the specification limits are USL = 130 and LSL = 75 kg, estimate the fraction nonconforming. Can the process meet specifications?

Samples 1 2 3 4 1 95 90 93 120 2 76 81 81 83 3 107 80 87 95 4 83 77 87 90 5 105 93 95 103 6 88 76 95 97 7 100 87 100 103 8 97 91 92 94 9 90 91 95 101 10 93 79 91 94 11 106 97 100 90 12 89 91 80 82 13 92 83 95 75 14 87 90 100 98 15 97 95 95 90 16 82 106 99 101 17 100 95 95 90 18 81 94 97 90 19 98 101 87 89 20 78 96 100 72 21 91 91 87 89 22 76 91 106 80 23 95 97 100 93 24 92 99 97 94 25 92 85 90 90
        
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can you solve it step by step q3 find the control limits that should be used on the x and r control charts for a process that have the following data if the quality characteristic is normall 04373

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University Physics with Modern Physics
University Physics with Modern Physics
Hugh D. Young 14th Edition
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Q3. Find the control limits that should be used on the x and R control charts for a process that has the following data. If the quality characteristic is normally distributed and the specification limits are USL = 130 and LSL = 75 kg, estimate the fraction nonconforming. Can the process meet specifications? Samples 1 2 3 4 1 95 90 93 120 2 76 81 81 83 3 107 80 87 95 4 83 77 87 90 5 105 93 95 103 6 88 76 95 97 7 100 87 100 103 8 97 91 92 94 9 90 91 95 101 10 93 79 91 94 11 106 97 100 90 12 89 91 80 82 13 92 83 95 75 14 87 90 100 98 15 97 95 95 90 16 82 106 99 101 17 100 95 95 90 18 81 94 97 90 19 98 101 87 89 20 78 96 100 72 21 91 91 87 89 22 76 91 106 80 23 95 97 100 93 24 92 99 97 94 25 92 85 90 90
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Transcript

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00:01 Hello students, draw the control charts for the x and the r that is the x bar and the r range from the following data relating to the 20 samples.
00:10 Each of the size 5.
00:11 Only the center line we have to draw the center line upper and the lower control limits for the x bar and the r chart.
00:17 First we know that the control limit for x bar chart r and these control limits when the standards are not given.
00:37 Then upper control limit, central line, lower control limit.
00:42 Upper control limit is equals to x double bar plus a2 r bar, central line x double bar, lower control line x bar x double bar minus a2 r bar and where x double bar is equals to summation of xi upon number of samples and r bar is equals to summation of here is a x bar i summation of ri upon number of samples and the value a2 is the statistical constant.
01:25 Then we know the values of x bar.
01:28 Look at here this is the all x bar values related with the all 20 samples.
01:33 Then take the sum of 8 and we get this summation 587 divided by number of samples.
01:42 The number of samples are 20 and after simplification we get value of x double bar is equals to 29 .35.
01:53 Next r bar, r bar is equals to summation of ri.
01:57 This is the all ranges related with the samples 20 samples and then take summation of it we get 420 divided by number of samples which is a 20 and after simplification we get value of r bar is equals to 21.
02:10 Now a2, a2 is the statistical constant for the sample size n equals to 5.
02:19 Then the value of a2 by using the statistical tables we get the value as 0 .577.
02:29 Now look at here the value of x double bar also known a2 also known r bar also known.
02:34 Then just put and simplify we get the value of upper confidence interval after simplification is 41 .467.
02:42 The value of x double bar is 29 .35 and value of lower confidence interval equals to 17 .233.
02:51 In this way we get the control limits for the x bar chart.
02:55 Now the control limits for r chart are and again these are the same when the standards are not given.
03:13 Then upper control limits upper control limit formula is d4 r bar center line equals to just r bar and the lower control limit equals to d3 r bar.
03:27 Again d3 and the d4 are the statistical constant for the sample size n equals to 5.
03:33 By using a statistical table the value of d3 we get is 0 and d4 is equal to 2 .115.
03:42 The value of r bar is already known which is equals to 21.
03:46 Just put here after simplification we get the upper control limit for the r bar chart is 44 .415.
03:57 R bar is equals to 21 and the d3 is 0.
04:00 So this quantity will be 0.
04:02 Now we have to plot the chart...
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