High Quality Content by WIKIPEDIA articles! In statistics, truncation results in values that are limited above or below, resulting in a truncated sample. Truncation is similar to but distinct from the concept of statistical censoring. A truncated sample can be thought of as being equivalent to an underlying sample with all values outside the bounds entirely omitted, with not even a count of those omitted being kept. If the sample had been censored, a record would be of those that were censored, consisting of a note that of whether the lower or upper bound had been passed and the value of the bound.

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