Q. 2 process) with mean u and standard deviation o (i.e. variance o) and is normally distributed, i.e. X N (u,0o'). Let x,,x,.x, be a random sample of size n from the process. Using this information, provide computations for the following process scenarios. Using 25 phase I in-control samples of size n=2, we got F=0.0296, R 1.3167, 5 0.9311. ForX , R and S charts, provide the following. i. 3-sigma control limits Let X be a continuous random variable (quality characteristic of interest in a ii. If the process variance remains stable at o, but mean shifts to new level 4, = 4, + 8o,. Using the probability limits at false alarm rate of 0.005 for X chart, evaluate the power at 8= -0.25 and 0.75 and find their corresponding ARL, values. Also interpret your results.
Q. 2 process) with mean u and standard deviation o (i.e. variance o) and is normally distributed, i.e. X N (u,0o'). Let x,,x,.x, be a random sample of size n from the process. Using this information, provide computations for the following process scenarios. Using 25 phase I in-control samples of size n=2, we got F=0.0296, R 1.3167, 5 0.9311. ForX , R and S charts, provide the following. i. 3-sigma control limits Let X be a continuous random variable (quality characteristic of interest in a ii. If the process variance remains stable at o, but mean shifts to new level 4, = 4, + 8o,. Using the probability limits at false alarm rate of 0.005 for X chart, evaluate the power at 8= -0.25 and 0.75 and find their corresponding ARL, values. Also interpret your results.
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter4: Eigenvalues And Eigenvectors
Section4.6: Applications And The Perron-frobenius Theorem
Problem 25EQ
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