ICustomBoxSeries
Hierarchy Properties

Type Library
TeeChartx

Description
In analysing sample data, sometimes data set contains a value that is unusually large or unusually small. A value that appears to be atypical in that it seems to be far removed from the bulk of the data is called an outlier or a "wild" number. Sometimes, the outliers are so obvious that their presence can be detected by inspection. However, it is useful to have an analytical and graphical technique for identifying values that are truly unusual. One such technique is the Boxplot. It's construction is based on the interquartile range, a measure of variability that is resistant to outliers. The sample interquartile range, IQR, represents the length of the interval that contains roughly the middle 50% of the data. If the IQR is small, then much of the data lies close to the center of the distribution; if it is large, the data tends to be widely dispersed.