Is there a way in JMP to label outliers in a dataset. For example, I have 100 lots and I want to label the units that are observered on the lower side of the distrubution. I dont care if the outliers perform better than the distrubution, I am more intersted in the lower ones.
In other words for example, I have a lot with 100 units, 1 or 2 units are outliers. How can I label those units?
The easiest way would be to just create a new "outlier" column and mark the rows that are outliers. You can then make that column a "label" column. Once you have another column you can use it to color or use different marker styles (like x vs dot). Since it's a label column you can highlight the points and show the row label.
Labelling outliers and finding outliers are two completely different questions. There are lots of statitistical methods to determine outliers (Pierce, Grubbs, 3 sigma, box and whisker plots, ect) all of which vary and disagree. You can use the Analyze > Screening > Explore Outliers tool for this.
That said, I always put in a word of caution around outliers. For you a lot is really only an outlier if it experienced a processing different from the rest of your lots. Data shouldn't be thrown away just b/c it makes your "fit bad" or it "looks high" or it makes my "P-value significant".