The following statements produce the normal Q-Q plot in Output 10.1.1: data measures; input diameter @@; label diameter='Diameter in mm'; datalines; 5.501 5.251 5.404 5.366 5.445 5.576 5.607 5.200 ...
it follows that an estimate of CPU is 1.7 / 3 = 0.57, and an estimate of CPL is 1.8 / 3 = 0.6. Thus, except for a factor of three, you can estimate CPU and CPL from the points of intersection between ...
This article derives simultaneous 100(1 - α)% confidence intervals for the quantiles of a normal distribution using a method first proposed by Cheng and Iles and independently rediscovered by Satten.
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