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Refer to Table 56.1-Factors for Computing Control Chart Limits (3 sigma) for this problem. Twelve samples, each containing five parts, were taken from a process that produces steel rods at Emmanual Kodzi's factory. The length of each rod in the samples was determined. The results were tabulated and sample means and ranges were computed. The results were: Sample 1 2 3 4 5 Sample Mean (in.) 8.604 8.602 8.593 8.606 8.599 8.599 Range (in.) Sample Sample Mean (in.) Range (in.) 7 8 9 0.033 0.041 0.034 0.051 0.031 0.036 10 11 12 For the given data, the x 8.601 inches (round your response to four decimal places). Based on the sampling done, the control limits for 3-sigma x chart are: Upper Control Limit (UCL;) - inches (round your response to four decimal places). 8.601 8.603 8.595 8.601 8.603 8.606 0.041 0.034 0.027 0.029 0.039 0.047

Refer to Table 56.1-Factors for Computing Control Chart Limits (3 sigma) for this problem. Twelve samples, each containing five parts, were taken from a process that produces steel rods at Emmanual Kodzi's factory. The length of each rod in the samples was determined. The results were tabulated and sample means and ranges were computed. The results were: Sample 1 2 3 4 5 Sample Mean (in.) 8.604 8.602 8.593 8.606 8.599 8.599 Range (in.) Sample Sample Mean (in.) Range (in.) 7 8 9 0.033 0.041 0.034 0.051 0.031 0.036 10 11 12 For the given data, the x 8.601 inches (round your response to four decimal places). Based on the sampling done, the control limits for 3-sigma x chart are: Upper Control Limit (UCL;) - inches (round your response to four decimal places). 8.601 8.603 8.595 8.601 8.603 8.606 0.041 0.034 0.027 0.029 0.039 0.047

MATLAB: An Introduction with Applications
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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Refer to Table 56.1-Factors for Computing Control Chart Limits (3 sigma) for this problem. Twelve samples, each containing five parts, were taken from a process that produces steel rods at Emmanual Kodzi's factory. The length of each rod in the samples was determined. The results were tabulated and sample means and ranges were computed. The results were: Sample 1 2 3 4 5 Sample Mean (in.) 8.604 8.602 8.593 8.606 8.599 8.599 Range (in.) Sample Sample Mean (in.) Range (in.) 7 8.601 8 8.603 9 8.595 8.601 8.603 8.606 0.033 0.041 0.034 0.051 0.031 0.036 10 11 12 For the given data, the x 8.601 inches (round your response to four decimal places). Based on the sampling done, the control limits for 3-sigma x chart are: Upper Control Limit (UCL;) - inches (round your response to four decimal places). 0.041 0.034 0.027 0.029 0.039 0.047
Transcribed Image Text:Refer to Table 56.1-Factors for Computing Control Chart Limits (3 sigma) for this problem. Twelve samples, each containing five parts, were taken from a process that produces steel rods at Emmanual Kodzi's factory. The length of each rod in the samples was determined. The results were tabulated and sample means and ranges were computed. The results were: Sample 1 2 3 4 5 Sample Mean (in.) 8.604 8.602 8.593 8.606 8.599 8.599 Range (in.) Sample Sample Mean (in.) Range (in.) 7 8.601 8 8.603 9 8.595 8.601 8.603 8.606 0.033 0.041 0.034 0.051 0.031 0.036 10 11 12 For the given data, the x 8.601 inches (round your response to four decimal places). Based on the sampling done, the control limits for 3-sigma x chart are: Upper Control Limit (UCL;) - inches (round your response to four decimal places). 0.041 0.034 0.027 0.029 0.039 0.047
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