Superimposes box plots on the subgroup means plotted in a Mean chart. The box plot shows the subgroup maximum, minimum, 75th percentile, 25th percentile, and median. Markers for subgroup means show unless you deselect the Show Points option. The control limits displayed apply only to the subgroup mean. The Box Plots option is available only for -charts. It is most appropriate for larger subgroup sample sizes (more than 10 samples in a subgroup).
Initially displays the center line in green. Deselecting Show Center Line removes the center line and its legend from the chart.
Shows a submenu that enables you to choose which tests to mark on the chart when the test is positive. Tests apply only for charts whose limits are 3σ limits. Tests 1 to 4 apply to Mean, Individual, and attribute charts. Tests 5 to 8 apply to Mean charts, Presummarize, and Individual Measurement charts only. If tests do not apply to a chart, the Tests option is dimmed. When sample sizes are unequal, the Test options are grayed out. If the samples change while the chart is open and they become equally sized, and the zone and/or test option is selected, the zones and/or tests are applied immediately and appear on the chart. These special tests are also referred to as the Western Electric Rules. For more information about special causes tests, see Tests in Control Chart Builder.
Flags as a “*” any point that is beyond the limits. This test works on all charts with limits, regardless of the sample size being constant, and regardless of the size of k or the width of the limits. For example, if you had unequal sample sizes, and wanted to flag any points beyond the limits of an r-chart, you could use this command.
Shows or hides the zone lines. The zones are labeled A, B, and C as shown here in the Mean plot for weight in the sample data. Control Chart tests use the zone lines as boundaries. The seven zone lines are set one sigma apart, centered on the center line.
Show Zones
Shade Zones
Gives Operating Characteristic (OC) curves for specific control charts. OC curves are defined in JMP only for X-, p-, np-, c-, and u-charts. The curve shows how the probability of accepting a lot changes with the quality of the sample. When you choose the OC Curve option from the control chart option list, JMP opens a new window containing the curve, using all the calculated values directly from the active control chart. Alternatively, you can run an OC curve directly from the Control category of the JMP Starter. Select the chart on which you want the curve based, then a window prompts you for Target, Lower Control Limit, Upper Control Limit, k, Sigma, and Sample Size. You can also perform both single and double acceptance sampling in the same manner. To engage this feature, choose View > JMP Starter > Control (under Click Category) > OC Curves. A pop-up window enables you to specify whether single or double acceptance sampling is desired. A second pop-up window is invoked, where you can specify acceptance failures, number inspected, and lot size (for single acceptance sampling). Clicking OK generates the desired OC curve.

Help created on 9/19/2017