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Figure 2 | BMC Medical Informatics and Decision Making

Figure 2

From: Statistical process control for data without inherent order

Figure 2

An Average and SD chart of the dataset, with Tukey’s Fences superimposed; as well as control limits based on m R ¯ min and m R ¯ max . This highlights the problem of using m R ¯ for datasets with no inherent order. Here the data are placed in “original” order. Limits falling outside of the range 0%-100% are not plotted. This shows the consequences of the issue highlighted in Figure 1, and suggests that one should instead fall back on classical outlier analyses in these instances.

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