"A toolset used to monitor and control a process for variation over time, which varies with the type of data it monitors." (Clyde M Creveling, "Six Sigma for Technical Processes: An Overview for R Executives, Technical Leaders, and Engineering Managers", 2006)
"A tool set used to monitor and control a process for variation over time. Varies with the type of data it monitors." (Lynne Hambleton, "Treasure Chest of Six Sigma Growth Methods, Tools, and Best Practices", 2007)
"A graphical device for tracking process performance over time." (DAMA International, "The DAMA Dictionary of Data Management", 2011)
"A control chart is a time sequence graph with additional features that identify data out of expected limits. In a typical individual/moving range statistical process control chart, the upper and lower control limits (UCL and LCL) are three standard deviations from the historical mean of the set of readings. If the measurement remains within the upper and lower controls limits, then the process is in control. In control means that any differences between the readings are affected only by normal or common cause variation (variation inherent in the process being measured). A process is in control when measurement points fall within the upper and lower control limits, and the points graphed on a control chart do not display any non-random patterns." (Laura Sebastian-Coleman, "Measuring Data Quality for Ongoing Improvement ", 2012)
"A graphic display of process data over time and against established control limits, which has a centerline that assists in detecting a trend of plotted values toward either control limit. " (For Dummies, "PMP Certification All-in-One For Dummies" 2nd Ed., 2013)
"A statistical process control tool used to monitor a process and determine whether it is statistically controlled. It graphically depicts the average value and the upper and lower control limits (the highest and lowest values) of a process." (SQA)
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