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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Natural process variation, sometimes just called process variation, is the statistical description of natural fluctuations in process outputs. 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…mehr

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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Natural process variation, sometimes just called process variation, is the statistical description of natural fluctuations in process outputs. 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.