- TABLE 6E.2 Bearing Diameter Data Sample Number i Sample Number R 1 34.5 3 13 35.4 2 34.2 4 14 34.0 3 31.6 4 15 37.1 5 4 31.5 4 16 34.9 7 5 35.0 17 33.5 4 6 34.1 6. 18 31.7 3 7 32.6 4 19 34.0 8. 8. 33.8 3 20 35.1 9. 34.8 7 21 33.7 2 10 33.6 8 22 32.8 1 11 31.9 3 23 33.5 3 12 38.6 9 24 34.2 2 nside diameter of the bearing, with only the last thre lecimals recorded (i.e., 34.5 should be 0.50345). a) Set up ī and R charts on this process. Does th process seem to be in statistical control? If nec essary, revise the trial control limits. b) If specifications on this diameter are 0.5030 0.0010, find the percentage of nonconformin bearings produced by this process. Assume tha diameter is normally distributed.
- TABLE 6E.2 Bearing Diameter Data Sample Number i Sample Number R 1 34.5 3 13 35.4 2 34.2 4 14 34.0 3 31.6 4 15 37.1 5 4 31.5 4 16 34.9 7 5 35.0 17 33.5 4 6 34.1 6. 18 31.7 3 7 32.6 4 19 34.0 8. 8. 33.8 3 20 35.1 9. 34.8 7 21 33.7 2 10 33.6 8 22 32.8 1 11 31.9 3 23 33.5 3 12 38.6 9 24 34.2 2 nside diameter of the bearing, with only the last thre lecimals recorded (i.e., 34.5 should be 0.50345). a) Set up ī and R charts on this process. Does th process seem to be in statistical control? If nec essary, revise the trial control limits. b) If specifications on this diameter are 0.5030 0.0010, find the percentage of nonconformin bearings produced by this process. Assume tha diameter is normally distributed.
College Algebra (MindTap Course List)
12th Edition
ISBN:9781305652231
Author:R. David Gustafson, Jeff Hughes
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Chapter4: Polynomial And Rational Functions
Section4.6: Rational Functions
Problem 11SC: Find the mean hourly cost when the cell phone described above is used for 240 minutes.
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
Transcribed Image Text:- TABLE 6E.2
Bearing Diameter Data
Sample
Number i
Sample
Number
R
1
34.5
3
13
35.4
8.
2
34.2
4
14
34.0
6
3
31.6
4
15
37.1
5
4
31.5
4
16
34.9
7
5
35.0
5
17
33.5
4
34.1
6.
18
31.7
3
7
32.6
4
19
34.0
8.
8
33.8
3
20
35.1
4.
9.
34.8
7
21
33.7
2
10
33.6
8
22
32.8
1
11
31.9
3
23
33.5
3
12
38.6
9
24
34.2
2
inside diameter of the bearing, with only the last three
decimals recorded (i.e., 34.5 should be 0.50345).
(a) Set up ī and R charts on this process. Does the
process seem to be in statistical control? If nec-
essary, revise the trial control limits.
(b) If specifications on this diameter are 0.5030 ±
0.0010, find the percentage of nonconforming
bearings produced by this process. Assume that
diameter is normally distributed.

Transcribed Image Text:6.7. The data shown in Table 6E.2 are ī and R values for
24 samples of size n=5 taken from a process produc-
ing bearings. The measurements are made on the
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