Box And Whisker Plot Outliers
What is box and whisker plot outliers?
A box and whisker plot is a graphical representation of a set of data values that shows the distribution and variability of the data. Outliers, in the context of a box and whisker plot, are data points that fall outside the range of typical values. These outliers can provide valuable insights into the data, as they may represent errors or anomalies in the measurements.
What are the types of box and whisker plot outliers?
There are two types of outliers commonly observed in box and whisker plots: mild outliers and extreme outliers. Mild outliers are data points that fall outside of the whiskers but still within 1.5 times the interquartile range (IQR) from the upper or lower quartile. Extreme outliers, on the other hand, are data points that fall outside of 3 times the IQR from the upper or lower quartile. These extreme outliers are usually considered more significant and may have a greater impact on the overall data analysis.
How to complete box and whisker plot outliers
Completing a box and whisker plot with outliers involves the following steps:
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