It sounds supernatural, but it’s quite simple really. Imagine that you’ve compiled your baseline data, but you have some “outliers” which are not truly representative of the state of the measure.
Outliers lie outside the realm of Common Cause Variation (natural variation in the system), and are representative of Special Causes. Best practice dictates that these special causes should be excluded from the calculation of your Center Line and Control Limits within your baseline phase. That’s where data Ghosting comes in.
Our new Ghosting function allows you to leave your data visible on the chart, but exclude the selected data from the calculation of the median (in the case of run charts), mean (in the case of control charts), and any control limits. It’s all done with the click of a button.
You can keep track of your changes, and document these events by adding annotations to your chart.
Check out this 45 second video showing just that…