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When John Tukey invented the boxplot he suggested (somewhat arbitrarily) that any data points more than 1.5 times the length of the box (ie, the distance between the upper and lower quartiles) from the nearest end of the box should be regarded as outliers.

For example, suppose the box length were 2, that the lower quartile were 5 and that the smallest data point were 1.


1.5 * 2 = 3
5 - 3 = 2

1 < 2; in other words, this data point is too far away from the box.


Hence, the smallest data point is an outlier.

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