An outlier is a data value that lies in the tail of the statistical distribution of a set of data values. In the distribution of raw data, outliers are often regarded as more likely to be incorrect.
In contrast, an inlier is an erroneous data value which actually lies in the interior of a statistical distribution, making it difficult to distinguish it from good data values.