A process that is in control has a mean of u = 12 and a standard deviation of o = 0.9. a. Construct an ¤ control chart if samples of size 4 are to be used (to 1 decimal). For n = 4 Find the UCL = Find the LCL = b. Repeat part (a) for samples of size 9 and 13 (to 2 decimals). For n = 9 Find the UCL = Find the LCL For n = 13 Find the UCL Find the LCL = c. What happens to the limits of the control chart as the sample size is increased? Discuss why this is reasonable.
A process that is in control has a mean of u = 12 and a standard deviation of o = 0.9. a. Construct an ¤ control chart if samples of size 4 are to be used (to 1 decimal). For n = 4 Find the UCL = Find the LCL = b. Repeat part (a) for samples of size 9 and 13 (to 2 decimals). For n = 9 Find the UCL = Find the LCL For n = 13 Find the UCL Find the LCL = c. What happens to the limits of the control chart as the sample size is increased? Discuss why this is reasonable.
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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Transcribed Image Text:A process that is in control has a mean of µ = 12 and a standard deviation of
= 0.9.
a. Construct an ¤ control chart if samples of size 4 are to be used (to 1
decimal).
For n = 4
Find the UCL :
||
Find the LCL =
b. Repeat part (a) for samples of size 9 and 13 (to 2 decimals).
For n = 9
Find the UCL :
Find the LCL =
For n = 13
Find the UCL :
Find the LCL =
c. What happens to the limits of the control chart as the sample size is
increased? Discuss why this is reasonable.
UCL and LCL become closer together as n
- Select your answer - ♥
. If the
process is in control, the larger samples should have less variance and should
fall
- Select your answer - v to 12.
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