Determine if the process is in control or not, using the western electric rules. Next to each scatter plot are their histogram. Does the histogram give similar information to the scatter plots? X-Bar HISTOGRAM 900 10 800 700 600 500 400 300 200 100 2. 10 15 20 25 30 -Sample Mean UCI +2 sigma 2sigma 1 gma 1sigma (418.2, 462.3 (462.3, s06.31 (506.1, S50.4 (S50.4, 594.4) (5944, 638.5 X-Вar HISTOGRAM 2. 0. 10 15 20 25 30 1. -0-Sample -0-Mean 0-UCL -0-LCL [5.35, S.40) (5.40, S8S) (S.85, 6.10 (6.10, 6.35) (6.35, 6.60) -0-12 sigma -0-2 sigma -0-+1 sigma-0-1sigma AVERAGE SAMPLE Frequency Asuanba

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Determine if the process is in control or not, using the western electric rules. Next to each scatter plot
are their histogram. Does the histogram give similar information to the scatter plots?
X-Bar
HISTOGRAM
900
10
800
9.
700
8
600
7.
500
400
300
200
100
10
15
20
25
30
1.
Sample Mean UCL
La
12 sigma -2 sigma +1 sigma 1sigma
[418.2, 462.3] (462.3, 506.3 (506.3, 550.4] (S50.4, 594.4 (594.4, 638.5)
Х-Вar
7
HISTOGRAM
2.
5
10
15
20
25
30
2.
-Sample -0-Mean0-UCL -0-LCL
[5.35, S.60)
(S.60, S.85)
(5.85, 6.10]
(6.10, 6.35]
(6.35, 6.60)
-0-12 sigma -0-2 sigma -0-+1 sigma -0-1sigma
AVERAGE SAMPLE
Average
Auanbaad
Aouanba
Transcribed Image Text:Determine if the process is in control or not, using the western electric rules. Next to each scatter plot are their histogram. Does the histogram give similar information to the scatter plots? X-Bar HISTOGRAM 900 10 800 9. 700 8 600 7. 500 400 300 200 100 10 15 20 25 30 1. Sample Mean UCL La 12 sigma -2 sigma +1 sigma 1sigma [418.2, 462.3] (462.3, 506.3 (506.3, 550.4] (S50.4, 594.4 (594.4, 638.5) Х-Вar 7 HISTOGRAM 2. 5 10 15 20 25 30 2. -Sample -0-Mean0-UCL -0-LCL [5.35, S.60) (S.60, S.85) (5.85, 6.10] (6.10, 6.35] (6.35, 6.60) -0-12 sigma -0-2 sigma -0-+1 sigma -0-1sigma AVERAGE SAMPLE Average Auanbaad Aouanba
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