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Natural process variation : ウィキペディア英語版
Natural process variation


Natural process variation, sometimes just called process variation, is the statistical description of natural fluctuations in process outputs.
== Equations ==

The following equations are used for an ''x''-bar-control chart:
:\bar x = \sum_^n x_i/n
:\sigma_ = \sigma/\sqrt n
In the example, with ''n'' = 10 samples, the targeted mean, \bar x, and standard error of the mean, \sigma_ are:
:\bar x = 1
:\sigma_ = 0.1/\sqrt 10 = 0.0316
That is, independent 10-sample means should themselves have a standard deviation of 0.0316. It is natural that the means vary this much, for by the central limit theorem the means should have a normal distribution, regardless of the distribution of the samples themselves.
The importance of knowing the natural process variation becomes clear when we apply statistical process control. In a stable process, the mean is on target; in the example, the target is the filling, set to 1 litre. The variation within the upper and lower control limits (UCL and LCL) is considered the natural variation of the process.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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