You will notice that, although the R chart seems to be in control, there are many outliers in the X-bar chart that need to be further examined. Select a value of 3 as the Constant sample size and as the Minimum number of observations per sample. Quick tab, select Length as the Variable with measurement and click OK.
We will now create an X-bar & R chart for the variable Length in the data set. Now click the OK button to display theĭefining Variables for X-bar and R Chart dialog. Real-time tab and select the Auto-update option button. Then select X-bar & R chart for variables on the Select Quality Control Charts from the Statistics - Industrial Statistics & Six Sigma submenu or from the Data Mining - Process Optimization - QC Charts submenu to display the Open the data file Cover.sta via the File - Open Examples menu. You can also define sets prior to producing the charts, seeĭefining Variables - Sets tab for more information.
Xbar and r chart examples how to#
Note that this example illustrates how to specify sets after the analysis (i.e., using options on the For further explanations, seeĮxample 1: Specifying Control Charts for Variables, Process Capability. We will use the same data file as in the first example (Cover.sta), but specify the chart for a different variable. In this example it will be shown how you can base the computations of the different control chart parameters (center line, process sigma, control limits) on different subsets of samples and apply computed parameters to different subsets.
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