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(a) Using all the data, nd trial control limits for X and R charts Is the process in control (b) Use the trial control limits from part (a) to identify out-ofcontrol points If necessary, revise your control limits Then, estimate the process standard deviation (c) Suppose that the speci cations are at 140 2 Using the results from part (b), what statements can you make about process capability Compute estimates of the appropriate process capability ratios (d) To make this process a 6-sigma process, the variance 2 would have to be decreased such that PCRk 20 What should this new variance value be (e) Suppose the mean shifts to 1397 What is the probability that this shift will be detected on the next sample What is the ARL after the shift 16-52 A process is controlled by a P chart using samples of size 100.

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The center line on the chart is 005 (a) What is the probability that the control chart detects a shift to 008 on the rst sample following the shift (b) What is the probability that the control chart does not detect a shift to 007 on the rst sample following the shift but does detect it on the second sample (c) Suppose that instead of a shift in the mean to 007, the mean shifts to 010 Repeat parts (a) and (b) (d) Compare your answers for a shift to 007 and for a shift to 010 Explain why they differ Also, explain why a shift to 010 is easier to detect 16-53 Suppose the average number of defects in a unit is known to be 8.

g k = g e d ( N )= 1 (mod N )

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If the mean number of defects in a unit shifts to 16, what is the probability that it will be detected by the U chart on the rst sample following the shift (a) if the sample size is n 4 (b) if the sample size is n 10 Use a normal approximation for U 16-54 Suppose the average number of defects in a unit is.

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known to be 10 If the mean number of defects in a unit shifts to 14, what is the probability that it will be detected by the U chart on the rst sample following the shift (a) if the sample size is n 1 (b) if the sample size is n 4 Use a normal approximation for U 16-55 Suppose that an X control chart with 2-sigma limits is used to control a process Find the probability that a false out-of-control signal will be produced on the next sample Compare this with the corresponding probability for the chart with 3-sigma limits and discuss Comment on when you would prefer to use 2-sigma limits instead of 3-sigma limits 16-56 Consider the X control chart with 2-sigma limits in Exercise 16-50 (a) Find the probability of no signal on the rst sample but a signal on the second.

for every g E { 1 , 2 , . . . ,N - l} and, therefore, 91 is a square root of unity, modulo N , that is, (g / )* = 1 (mod N ) . The number 1 has four square roots, modulo N = pq. Two of these square roots are *1 and the other two (which can be found using the Chinese Remainder Theorenl-see Section A-2 in the Appendix), are fz, where z satisfies the conditions z = 1 (mod p ) and IC = -1 (mod 4 ) . Using either one of these last two square roots, the factorization of N is revealed by computing gcd(n:- 1,N ) . l A straightforward argument [19] shows that if g E { 1 , 2 , . . . , N - 1) is chosen at random, then with probability at least 1/2 one of the elements in the sequence

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