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.net ean 13 reader

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Computer software also produces a C chart. This is just a control chart of C, the total of defects in a sample. The points, center line, and control limits for this chart are just multiples

= \7. f, = - - - \7 /\f,





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Table 16-5 Number of Defects in Samples of Five Printed Circuit Boards Sample 1 2 3 4 5 6 7 8 9 10 Number of Defects 6 4 8 10 9 12 16 2 3 10 Defects per Unit ui 1.2 0.8 1.6 2.0 1.8 2.4 3.2 0.4 0.6 2.0 Sample 11 12 13 14 15 16 17 18 19 20 Number of Defects 9 15 8 10 8 2 7 1 7 13 Defects per Unit ui 1.8 3.0 1.6 2.0 1.6 0.4 1.4 0.2 1.4 2.6

(C.34) (C.35)

u = 1.6

(times n) of the corresponding elements of a U chart. The use of a C chart avoids the fractions that can occur in a U chart.





.net ean 13 reader

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16 Sep 2008 ... Demonstrates creating EAN - 13 Barcodes with VB. NET . ... programs for hand held devices which came with an integrated barcode reader .

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where :F == 10 + En inln and f is the three-dimensional vector formed with the imaginary components of the quaternion:F. Right regularity means that :FO = 0, which in terms of components reads

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EXERCISES FOR SECTION 16-8

8 I o =\7.f, 8xo 8f \710 = --8

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16-24. Suppose the following fraction defective has been found in successive samples of size 100 (read down): 0.09 0.10 0.13 0.08 0.14 0.09 0.10 0.15 0.13 0.06 0.03 0.05 0.13 0.10 0.14 0.07 0.06 0.09 0.08 0.11 0.12 0.14 0.06 0.05 0.14 0.11 0.09 0.13 0.12 0.09 per 1000 feet in rubber-covered wire: 1, 1, 3, 7, 8, 10, 5, 13, 0, 19, 24, 6, 9, 11, 15, 8, 3, 6, 7, 4, 9, 20, 11, 7, 18, 10, 6, 4, 0, 9, 7, 3, 1, 8, 12. Do the data come from a controlled process 16-27. Consider the data in Exercise 16-25. Set up a C chart for this process. Compare it to the U chart in Exercise 16-25. Comment on your ndings. 16-28. The following are the numbers of defective solder joints found during successive samples of 500 solder joints: Day 1 2 3 4 5 6 7 8 9 10 11 No. of Defectives 106 116 164 89 99 40 112 36 69 74 42 Day 12 13 14 15 16 17 18 19 20 21 No. of Defectives 37 25 88 101 64 51 74 71 43 80

(a) Using all the data, compute trial control limits for a fraction-defective control chart, construct the chart, and plot the data. (b) Determine whether the process is in statistical control. If not, assume assignable causes can be found and out-of-control points eliminated. Revise the control limits. 16-25. The following represent the number of solder defects observed on 24 samples of ve printed circuit boards: 7, 6, 8, 10, 24, 6, 5, 4, 8, 11, 15, 8, 4, 16, 11, 12, 8, 6, 5, 9, 7, 14, 8, 21. (a) Using all the data, compute trial control limits for a U control chart, construct the chart, and plot the data. (b) Can we conclude that the process is in control using a U chart If not, assume assignable causes can be found, list points and revise the control limits. 16-26. The following represent the number of defects

(C.36)

(a) Using all the data, compute trial control limits for a fraction-defective control chart, construct the chart, and plot the data. (b) Determine whether the process is in statistical control. If not, assume assignable causes can be found and out-of-control points eliminated. Revise the control limits.

630 16-9

(8.127)

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