Statistical Discrepancy

Statistical discrepancy refers to the difference between two related sets of data—usually the sum of transactions recorded from different sources that should match but don't exactly due to measurement errors, rounding, or reporting delays. It acts as a balancing figure to ensure that overall totals remain consistent, acknowledging that perfect accuracy is difficult in large datasets. This discrepancy helps statisticians and analysts identify potential issues or gaps in data collection, ensuring the integrity of the overall analysis without implying any intentional mistake.