Sentence examples for data the differences between from inspiring English sources

When comparing the WRMS of the UT1-UTC residuals derived from four different analysis strategies with different mapping functions, different pressure data, and with or without cable delay data, the differences between the WRMS remain on the order of 0.01 μs.

For all such binary data, the differences between the No Lab and Lab groups were analyzed using a chi-square test; within-group repeated measure comparisons were completed using a McNemar change test.

However, in our data the differences between the various pairs of neurology subgroups are modest.

In our data, the differences between the KM and CIF estimates in the 2 FNOF groups were evident after a relatively short time.

At preterm GAs, the differences in z-scores and POMs between antepartum and interpartum stillbirths were not statistically significant, but (as observed in the U.S. data) the differences between live births and stillbirths were highly significant (P < 0.001).

In the mouse data, the differences between the software packages were relatively small, the most conservative baySeq and Cuffdiff 2 showing the lowest numbers of false detections and EBSeq in general the largest.

Apart from the remarkable robustness of the results across different random samples of the data, the difference between the reconstruction systems regarding their individual degrees of vowel purity is also quite striking.

While it's been reported that the Vytorin users had more plaque than the Zocor users, that's not a scientifically correct reading of the data: the difference between the two groups was not statistically significant.

For our data, the difference between SUR at the actual scan time T and SUR at the reference time was up to δ SUR T ≈60%.

Subsequently, in the inter-group comparison of the PET data, the difference between S. aureus group and group 3 without bacterial inoculation was not statistically significant, even when the animals with the negative microbiological results were excluded from the analysis.

That means boning up on things like what constitutes statistically significant data, the difference between in vitro and in vivo lab research, what "confounding factors" refers to and more.