Predictive Quality Control Charts Startup Panel - Variables Tab

Select the Variables tab of the Predictive Quality Control Charts Startup Panel to access the options described here. For details regarding these chart types, refer to Quality Control Introductory Overview - Common Types of Charts.

Note: the analyses and computations for predictive modeling (via neural networks) will be performed on the "plot points," i.e., the sample means and ranges or standard deviations for the variables selected for the variable control charting.
SixGraph with X-bar & R chart
Double-click SixGraph with X-bar & R chart, or select SixGraph with X-bar & R chart and click the OK button to start this analysis, which produces SixGraph compound graphs and X-bar charts (for means) and an R (range) charts for the variability of the processes.
SixGraph with X-bar & S chart
Double-click SixGraph with X-bar & S chart to start this analysis, which produces SixGraph compound graphs and X-bar charts (for means) and an S (standard deviation) charts for the variability of the processes.
SixGraph with X & MR chart
Double-click SixGraph with X & MR chart to start this analysis, which produces SixGraph compound graphs and X (for individuals) charts and MR (moving range) charts for the variability of the processes.
X-bar & R chart for variables
Double-click X-bar & R chart for variables to start this analysis, which produces X-bar charts (for means) and an R (range) charts for the variability of the processes.
X-bar & S chart for variables
Double-click X-bar & S chart for variables to start this analysis, which produces an X-bar chart (for means) and an S (standard deviation) chart for the variability of the process.
MA X-bar & R chart for variables
Double-click MA X-bar and R chart for variables to start this analysis, which produces MA (moving average) charts. In these charts, a moving average of means (or individual observations) across a specified number of successive samples is plotted, and control lines are established around that moving average line. This is useful for detecting small permanent shifts (trends) in the process average. Note that these charts can be constructed for individual observations (N=1), in which case sigma will be estimated from moving ranges.
MA X-bar & S chart for variables
Double-click MA X-bar and S chart for variables to start this analysis, which produces MA (moving average) charts. In these charts, moving averages of means (or individual observations) across a specified number of successive samples are plotted, and control lines are established around the moving average lines. This is useful for detecting small permanent shifts (trends) in process averages.
Individuals & moving range
Select Individuals & moving range to start this analysis, which produces charts for individual observations and moving ranges. In these plots, individual observations (sample size of 1) are plotted and you can use so-called moving ranges (of adjacent observations) in order to estimate a process sigma and establish control limits. Note that MA and EWMA charts can also be constructed for individual observations, in which case sigma will also be estimated from moving ranges.

See also, Quality Control Introductory Overview - Common Types of Charts, Control Charts for Variables vs. Charts for Attributes, and Quality Control Charts Index.