In describing numerical data,the data is usually best described by the mean because it is not affected by outliers.

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The mean is affected by outliers since it takes into account every value in the dataset. Therefore, outliers - which are extreme values that deviate significantly from the other data points - can skew the mean and give a misleading impression of the typical value in the dataset. Other measures, such as the median or mode, may be more appropriate when dealing with skewed or outlier-prone data.

In Describing Numerical Data,the Data Is Usually Best Described by the Mean