oduct filling weights are normally distributed with a mean of 360 grams and a standard deviation of 16 grams. Compute the chart upper control limit and lower control limit for this process if samples of size 10, 20 and 30 are used (to 2 decimals). Use Table 19.3. For samples of size 10 UCL LCL For a sample size of 20 UCL LCL For a sample size of 30 UCL LCL

oduct filling weights are normally distributed with a mean of 360 grams and a standard deviation of 16 grams. Compute the chart upper control limit and lower control limit for this process if samples of size 10, 20 and 30 are used (to 2 decimals). Use Table 19.3. For samples of size 10 UCL LCL For a sample size of 20 UCL LCL For a sample size of 30 UCL LCL

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

Product filling weights are normally distributed with a mean of 360 grams and a standard deviation of 16 grams.
a. Compute the X chart upper control limit and lower control limit for this process if samples of size 10, 20 and 30 are used (to 2 decimals). Use Table 19.3.
For samples of size 10
UCL
LCL
For a sample size of 20
UCL
LCL
For a
mple size of 30
UCL
LCL

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