Outlier is a term used in statistics to define a set of observations, an outlier and aberrant, then clearly a value away from other observations available.
For example, if we measure the temperature of ten items in a room, most of which is shown to have a temperature between 20 and 25 degrees Celsius, then turned on the oven, with a temperature of 350 degrees would be given an aberrant . The median values \u200b\u200bwould be about 23, while the average temperature would rise to about 55 degrees: an index is clearly not representative of the majority of the temperature values \u200b\u200bfound in the room.
The outliers can be indicative of the fact that in a given sample, some data belong to a different population than the rest of the sample.
We must learn to be outliers, such as statistical anomalies. We must be original. Caution: Not all mutations are good, most of them die, but the right ones can change the course of evolution.
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