<P> In statistics, an outlier is an observation point that is distant from other observations . An outlier may be due to variability in the measurement or it may indicate experimental error; the latter are sometimes excluded from the data set . </P> <P> Outliers can occur by chance in any distribution, but they often indicate either measurement error or that the population has a heavy - tailed distribution . In the former case one wishes to discard them or use statistics that are robust to outliers, while in the latter case they indicate that the distribution has high skewness and that one should be very cautious in using tools or intuitions that assume a normal distribution . A frequent cause of outliers is a mixture of two distributions, which may be two distinct sub-populations, or may indicate' correct trial' versus' measurement error'; this is modeled by a mixture model . </P>

When is a data point considered an outlier