The control chart is perhaps the tool most directly associated with Six Sigma and DMAIC. This specialized chart allows you to view your data over time and differentiate special cause and common cause variation. With this information you can determine how your process is likely to perform if left alone, and what methods to use to improve it. Our guide leads you to articles about basic individuals control charts and how to interpret them, as well as to information about more advanced control charts such as the p, np, c and u charts. We even cover specialty control charts such as X-bar/R charts and EWMA charts.