Sentence examples for statistical discrepancies from inspiring English sources

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.

Chile's alleged statistical discrepancies are of a magnitude both smaller and less important, than, say, the systematic cheating in calculating LIBOR in a well-known industrial country, or of inflation in a certain developing country.Klaus Schmidt-Hebbel Professor of economics Catholic University of Chile Santiago.

The Federal Reserve first detected statistical discrepancies in the loans Countrywide was making and referred the matter to the Justice Department in early 2007, according to a court filing disclosed in 2010 as part of a civil fraud case brought by the Securities and Exchange Commission against Angelo R. Mozilo, the former chief executive of Countrywide.

Also included are imputed bank service charges, import duties, and any statistical discrepancies noted by national compilers as well as discrepancies that arise from rescaling.

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.

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.

Using these metrics in a small population, we identify a statistical discrepancy between a control group and subjects with hypertension, neuropathy, diabetes, osteoporosis, arthritis, and several other common diseases which severely affect the geriatrics community.