Outliers:
Sometimes, when we analyze the data, one
value is very extreme from the others. Such value is referred as outliers. This
could be due to two reasons. Firstly, the value obtained may be due to chance;
in that case, we should keep that value in final analysis as the value is from
the same distribution. Secondly, it may be due to mistake. Causes may be listed
as typographical or measurement errors. In such cases, these values should be
deleted, to avoid invalid results.
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