"statistical discrepancy" is correct and usable in written English.
You can use it to refer to a difference between two numbers that can be attributed to discrepancies in statistical sampling or calculation. For example, "The census report had a slight statistical discrepancy with the estimated population size."
13 There is a large statistical discrepancy of 9 million tonnes in 1997/99 in the trade statistics.
Woolley cautions that the successive rises may just be a statistical discrepancy.
The statistical discrepancy, he said, was a combination of variable luck — balls that once dropped in for hits were being caught — and the law of averages taking hold.
Stepping away from the daily misery of people with digestive issues, there is no ignoring the statistical discrepancy between the growing numbers of people in the UK who can be tagged as gluten-sensitive and the 15% of British households now avoiding gluten and wheat.
But this cannot account for the scale of the recent rise in the statistical discrepancy because growth in trade has slowed since 2007.Another possible explanation posits that the surge in the global discrepancy broadly coincides with both the explosion in vertically integrated businesses, where firms locate different stages of production in different countries, and the increase in China's trade.
Using time-frequency analysis on the EMG signal, in conjunction with several parameters obtained from the time-frequency analyses, we can determine the statistical discrepancy between diseases.
There are big statistical discrepancies in a few quarters.
The "errors and omissions" account functions as a mere balancing item to correct statistical discrepancies and should therefore be relatively small.
Ms. Shiu said the evidence was based on not just statistical discrepancies, but also interviews with applicants and FedEx officials.
For example, statistical discrepancies between exit polls and actual votes cast have been used by some to deduce widespread fraud on statistical grounds.
In macroeconomic reasoning one usually deals with the labour force as a whole, irrespective of the skills of the workers, and to do so leaves enormous statistical discrepancies.
