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.
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.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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The data shown in Table 6E.2 are x and R values for 24
(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

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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