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b) Compute the CL, UCL and LCL of the given data using k 3. Construct an X-bar chart. Sample Number Observations 1 32 36 42 28 32 40 3 39 52 28 4 50 42 31 5 42 45 34

b) Compute the CL, UCL and LCL of the given data using k 3. Construct an X-bar chart. Sample Number Observations 1 32 36 42 28 32 40 3 39 52 28 4 50 42 31 5 42 45 34

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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Hi. Please answer only B in this question because I already got the answer to A. Also, can you show me how to get the UCL and LCL without using control constants? Thank you! I've provided the formula that should be used.
4. Given the data below, do the following: a) Compute the mean and range for each sample. b) Compute the CL, UCL and LCL of the given data using k 3. Construct an X-bar chart. Sample Number Observations 1 32 36 42 2 28 32 40 3 39 52 28 4 50 42 31 5 42 45 34
Transcribed Image Text:4. Given the data below, do the following: a) Compute the mean and range for each sample. b) Compute the CL, UCL and LCL of the given data using k 3. Construct an X-bar chart. Sample Number Observations 1 32 36 42 2 28 32 40 3 39 52 28 4 50 42 31 5 42 45 34
Formula UCL = x+ kd CL = X 83= dz= where LCL = x – k 8z where k is the distance of the control limits from the center line, expressed in standard deviation units when k is set to 3, we speak of 3-sigma control charts historically k=3 has become an accepted standard in industry
Transcribed Image Text:Formula UCL = x+ kd CL = X 83= dz= where LCL = x – k 8z where k is the distance of the control limits from the center line, expressed in standard deviation units when k is set to 3, we speak of 3-sigma control charts historically k=3 has become an accepted standard in industry
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