The data shown in Table 6E.2 are x and R values for 24 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., 34.5 should be 0.50345). (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) If specifications on this diameter are 0.5030+/- 0.0010, find the percentage of nonconforming bearing produced by this process. Assume that diameter is normally distributed.

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The data shown in Table 6E.2 are x and R values for 24 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., 34.5 should be 0.50345).

(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) If specifications on this diameter are 0.5030+/- 0.0010, find the percentage of nonconforming bearing produced by this process. Assume that diameter is  normally distributed.

■ TABLE 6E.2
Bearing Diameter Data
Sample
Number
1
2
3
4
enorme
34.5 3
34.2 4
31.6
4
31.5
35.0
Sample
R Number
4
5
34.1 6
32.6
4
33.8 3
34.8 7
9
10
11 31.9
12
38.6
33.6 8
3
9
13 35.4
14
34.0
15
37.1
16
34.9
17
33.5
18
31.7
34.0
19
20
21
22
IM
23
24
R
8
6
5
7
32.8
33.5
34.2
4
3
8
35.1 4
33.7
2
1
3
2
Transcribed Image Text:■ TABLE 6E.2 Bearing Diameter Data Sample Number 1 2 3 4 enorme 34.5 3 34.2 4 31.6 4 31.5 35.0 Sample R Number 4 5 34.1 6 32.6 4 33.8 3 34.8 7 9 10 11 31.9 12 38.6 33.6 8 3 9 13 35.4 14 34.0 15 37.1 16 34.9 17 33.5 18 31.7 34.0 19 20 21 22 IM 23 24 R 8 6 5 7 32.8 33.5 34.2 4 3 8 35.1 4 33.7 2 1 3 2
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