The Probe.jmp sample data table contains 387 characteristics (the Responses column group) measured on 5800 semiconductor wafers. The Lot ID and Wafer Number columns uniquely identify the wafer. You are interested in identifying outliers within a select group of columns of the data set. Use the Explore Outliers utility to identify outliers that can then be examined using the Distribution platform.
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Select Analyze > Screening > Explore Outliers.
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Select columns VDP_M1 through VDP_SICR and click Y, Columns. You should have 14 columns selected (see Figure 2.2).
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Figure 2.2 Explore Outliers Launch Window
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Click OK.
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Click Quantile Range Outliers.
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In the Quantile Range Outliers report, select the check box named Show only columns with outliers. This limits the list of columns to only those that contain outliers.
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Click Add Highest Nines to Missing Value Codes.
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A JMP Alert indicates that you should use the Save As command to preserve your original data.
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Click OK.
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Select the check box named Restrict search to integers.
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Deselect Restrict search to integers.
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Click Select Rows.
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Select Analyze > Distribution.
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Assign the selected columns to the Y, Columns role. Because you selected these column names in the Quantile Range Outliers report, they are already selected in the Distribution launch window.
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Click OK.
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Figure 2.3 shows a simplified version of the report.
In columns VDP_M1 and VDP_PEMIT, notice that the selected outliers are somewhat close to the majority of data. For the rest of the columns, the selected outliers appear distant enough to exclude them from your analyses.
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With the remaining columns selected in the report, click Exclude Rows.
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Click Rescan.
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In the Quantile Range Outliers report, click Exclude Rows.
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Select Redo > Redo Analysis.
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Figure 2.4 shows a simplified version of the report.
