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which can get tricky very fast. Here is an overview of one of those statistical theories. A key component of Six Sigma project completion is ensuring your process is appropriately in the "control phase." A statistical tool that makes this possible is a control chart, which allows you to monitor and improve quality.

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The control chart was originally created for the manufacturing environment and geared towards "Total Quality Management." Because it's original intents were for quality improvement measures, it makes for a great fit for Six Sigma.

Control charts are designed to detect the presence of special causes of variation. Even the most well designed process has a certain amount of variability when it comes to output measurements. When thinking of a process that is "in-control", it is a process that has variations in quality due to random causes alone. An "out-of-control" process is one that has variation because of both special causes as well as random ones. This is where the this process will help you with identification.