Basic Analysis • Distributions • Options for Continuous Variables • Outlier Box Plot
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Outlier Box Plot
Use the outlier box plot (also called a Tukey outlier box plot) to see the distribution and identify possible outliers. Generally, box plots show selected quantiles of continuous distributions.
Outlier Box Plot
Note the following aspects about outlier box plots:
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The horizontal line within the box represents the median sample value.
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The confidence diamond contains the mean and the upper and lower 95% of the mean. If you drew a line through the middle of the diamond, you would have the mean. The top and bottom points of the diamond represent the upper and lower 95% of the mean.
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The ends of the box represent the 25th and 75th quantiles, also expressed as the 1st and 3rd quartile, respectively.
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The difference between the 1st and 3rd quartiles is called the interquartile range.
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The box has lines that extend from each end, sometimes called whiskers. The whiskers extend from the ends of the box to the outermost data point that falls within the distances computed as follows:
1st quartile - 1.5*(interquartile range)
3rd quartile + 1.5*(interquartile range)
If the data points do not reach the computed ranges, then the whiskers are determined by the upper and lower data point values (not including outliers).
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The bracket outside of the box identifies the shortest half, which is the most dense 50% of the observations (Rousseuw and Leroy 1987).
Remove Objects from the Outlier Box Plot
To remove the confidence diamond or the shortest half, proceed as follows:
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Right-click on the outlier box plot and select Customize.
2.
Click Box Plot.
3.
Deselect the check box next to Confidence Diamond or Shortest Half.
For more details about the Customize Graph window, see Customize Graphical Elements in the Using JMP book.

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Help created on 9/19/2017