Consider the “minute clinic” waiting time data in Exercise 6.66. These data may not be normally distributed. Set up a EWMA control chart using = 0.1 for monitoring this process. Does the process seem to be in statistical control?
Answer to relevant QuestionsConsider the hospital emergency room waiting time data in Exercise 8.16. Set up an EWMA control chart for monitoring this process using = 0.1. Compare this EWMA chart to the one from Exercise 9.14. x p50 4.55; ...Consider a standardized two-sided CUSUM with k = 0.2 and h=8. Use Siegmund’s procedure to evaluate the in-control ARL performance of this scheme. Find ARL1 for * = 0.5. In control ARL performance: Reconstruct the control chart in Exercise 9.27 using = 0.1 and L = 2.7. Compare this chart with the one constructed in Exercise 9.27. Assume = 0.05. CL = 0 = 8.02, UCL = 8.05, LCL = 7.99 Analyze the data in Exercise 9.4 using a moving average control chart with w = 5. Compare the results obtained with the cumulative sum control chart in Exercise 9.4. w = 5, 0 = 8.02, = 0.05, CL = 8.02, UCL = 8.087, ...An EWMA control chart uses = 0.4. How wide will the limits be on the Shewhart control chart, expressed as a multiple of the width of the steady-state EWMA limits? For EWMA, steady-state limits are
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