Anomalous results are data points that deviate significantly from the expected pattern or trend in a dataset. These outliers can indicate errors in measurement, unique phenomena, or variability in the data. It is crucial to investigate these anomalies to determine their cause, as they may require correction, exclusion from analysis, or further exploration to gain insights. Proper treatment of anomalous results ensures the integrity and reliability of the overall analysis.
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