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Extreme numbers in the data as compared the the rest of the data are called OUTLIERS.
outlier
The mode is the value with the most data. Unfortunately it tells you nothing about the rest of the distribution. The mean and median provide more useful information in most situations.
Outliers
Data that does not fit with the rest of a data set is known as an outlier. Outliers can skew statistical analyses and distort the interpretation of data. They can be caused by errors in data collection, measurement variability, or may represent true but rare occurrences in the data set. Identifying and handling outliers appropriately is crucial in ensuring the accuracy and reliability of data analysis results.