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A control chart for thickness of rolled-steel sheets is based on an upper control limit of .0520 in, and a lower limit of .0475 in. The first ten values of the quality statistic (in this case X., the sample mean thickness of n = 5 sample sheets) are .0506, .0493, .0502, .0501, .0512, .0498, .0485, 0500, .0505, and 0483. Construct the initial part of the quality control chart, and comment on its appearance.

A control chart for thickness of rolled-steel sheets is based on an upper control limit of .0520 in, and a lower limit of .0475 in. The first ten values of the quality statistic (in this case X., the sample mean thickness of n = 5 sample sheets) are .0506, .0493, .0502, .0501, .0512, .0498, .0485, 0500, .0505, and 0483. Construct the initial part of the quality control chart, and comment on its appearance.

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
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A control chart for thickness of rolled-steel sheets is based on an upper control limit of .0520 in. and a lower limit of .0475 in. The first ten values of the quality statistic (in this case X., the sample mean thickness of n = 5 sample sheets) are .0506, .0493, .0502, .0501, 0512, .0498, .0485, .0500, .0505, and 0483. Construct the initial part of the quality control chart, and comment on its appearance.
Transcribed Image Text:A control chart for thickness of rolled-steel sheets is based on an upper control limit of .0520 in. and a lower limit of .0475 in. The first ten values of the quality statistic (in this case X., the sample mean thickness of n = 5 sample sheets) are .0506, .0493, .0502, .0501, 0512, .0498, .0485, .0500, .0505, and 0483. Construct the initial part of the quality control chart, and comment on its appearance.
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