A free online reference for statistical process control, process capability analysis, measurement systems analysis, control chart interpretation, and other quality metrics.
Notice that nearly all the points lie close to the average. This pattern could be caused by a number of circumstances, including:
When this pattern occurs, try to establish why. Is this apparent improvement genuine? Can the improvement be maintained? If the improvement can be maintained, then the control limits need to be recalculated. Although the data looks more stable than normal, this condition is referred to statistically as “unstable”.
>> Any nonrandom pattern
>> Too far from the average
>> 2 of 3 points beyond 2 sigma
>> 4 of 5 points beyond 1 sigma