Q2) A paper mill uses a control chart to monitor the imperfection in finished rolls of paper. Production output is inspected for 20 days, and the resulting data are shown here. Use these data to set up a control chart for nonconformities per roll of paper. (a) Does the process appear to be in statistical control? What center line and control limits would you recommend for controlling current production? (b) Set up a u chart based on an average sample size to control this process. (c) Set up a standardized u chart for this process.
Q2) A paper mill uses a control chart to monitor the imperfection in finished rolls of paper. Production output is inspected for 20 days, and the resulting data are shown here. Use these data to set up a control chart for nonconformities per roll of paper. (a) Does the process appear to be in statistical control? What center line and control limits would you recommend for controlling current production? (b) Set up a u chart based on an average sample size to control this process. (c) Set up a standardized u chart for this process.
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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Question
Q2) A paper mill uses a control chart to monitor the imperfection in finished rolls of paper. Production output is inspected for 20 days, and the resulting data are shown here. Use these data to set up a control chart for nonconformities per roll of paper.
(a) Does the process appear to be in statistical control? What center line and control limits would you recommend for controlling current production?
(b) Set up a u chart based on an average
(c) Set up a standardized u chart for this process.

Transcribed Image Text:Number Total number
Number
of Rolls
Total number
of Rolls
of
of
Day
Produced Imperfections
Day
Produced Imperfections
1
18
15
11
18
16
18
11
12
18
14
3
24
23
13
18
11
4
22
15
14
20
10
5
22
17
15
20
17
6.
22
10
16
20
10
7
20
10
17
24
16
8
20
13
18
24
18
20
15
19
22
20
10
20
10
20
21
17
2.
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