Consider 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; p84 7.34; p84 p50 7.344.552.79
Answer to relevant QuestionsConsider the “minute clinic” waiting time data in Exercise 6.66. Set up an EWMA control chart for monitoring this process using = 0.4. Compare this EWMA chart to the one from Exercise 9.16. Consider the viscosity data in Exercise 9.9. Suppose that the target value of viscosity is µ0 = 3,150 and that it is only important to detect disturbances in the process that result in increased viscosity. Set up and apply ...Reconsider the data in Exercise 9.7. Apply an EWMA control chart to these data using = 0.1 and L = 2.7. 12.16 , CL = 0 = 950, UCL = 957.53, LCL = 942.47. Analyze the homicide data in Exercise 7.76 using a moving average control chart with w = 5. Does potential non-normality in the data pose a concern here? Consider the valve failure data in Example 7.6. Set up a CUSUM chart for monitoring the time between events using the transformed variable approach illustrated in that example. Use standardized values of h = 5 and k = ½.
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