![]() ![]() ![]() For instance, a human weighting 786 kg (1733 pounds) is clearly an error when encoding the weight of the subject. Outliers can also arise due to an experimental, measurement or encoding error. For example, it is often the case that there are outliers when collecting data on salaries, as some people make much more money than the rest. Indeed, someone who is 200 cm tall (6’7" in US) will most likely be considered as an outlier compared to the general population, but that same person may not be considered as an outlier if we measured the height of basketball players.Īn outlier may be due to the variability inherent in the observed phenomenon. Enderlein ( 1987) goes even further as the author considers outliers as values that deviate so much from other observations one might suppose a different underlying sampling mechanism.Īn observation must always be compared to other observations made on the same phenomenon before actually calling it an outlier. An outlier is a value or an observation that is distant from other observations, that is to say, a data point that differs significantly from other data points. ![]()
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