There is considerable ambiguity; in some instances, an outlier is obviously an error and should be eliminated, but in other instances, Predictive Analytics or model may need to make a determination as to whether an outlier is a natural variation. By using data visualization techniques like scatter plots and box plots, statisticians can reduce the impact of outliers and quickly determine what constitutes an outlier. Data outliers can be dealt with in a number of ways. Setting up a filter in the testing tool, changing or removing outliers during post-test analysis, changing the value of an outlier, taking into account underlying distributions, conducting a separate analysis with only the outliers, or taking into account the value of mild outliers are a few examples of common strategies.
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