00418 56a13f3cdc41e5c794440043a03715
422
Pignatiello & Ramberg
2 N = 1000
Midpoint Count
Figurę 6. Histogram of Samples from a Stable Process with Cp = 1.00.
For the process with the true value of C.p= 1.33, the simulation study found
these values to be 1.095 and 1.705 which indicates an interval width of 0.61.
Plots of such interval widths (obtained in a similar manner) versus sample sizes are given in Figures 7 and 8. Theses figures show that for normal processes whose true Cp value eąuals 1.33, sample sizes of roughly 300 would
be needed to obtain a width of about 0.20. Altematively, the estimated standard errors given above can be used to determine approximate sample sizes for normal processes. For example, one could flnd the sample size n so that the interval width (approximated by, say, four times the standard error) is sufficiently smali.
It should be noted that Figures 7 and 8 show that for processes that are not normal, substantially larger sample sizes would be needed to achieve the
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