If the values are rounded by following the rules of rounding, then the difference between actual value and the rounded (estimated in statistics) is called absolute unbiased error. For more than one values in a data set, the sum of the absolute unbiased error is taken.

Note that the rounding rule is

A given value is rounded to nearest lower value of the unit of rounding in case it is less than half of the unit of rounding and to next higher value of the unit of rounded if it is more than half of the unit rounding.

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