Sentence examples for mean performance with from inspiring English sources

These lines and the crosses ISCVP3046 × ICSA4, ICSV700 × ICSA731, ICSR165 × ICSA307, ZLR1 × ICSA474 and ICSR57 × ICSA479, which combined high mean performance with positive SCA effects, would be recommended for use in breeding new varieties for tropical lowland environments.

We have checked that normality assumption (Kolmogorov-Smirnof with Lilliefors significance correction) was not observed in all the variables of the tests and/or different groups, so the results were analyzed using non-parametric Mann-Whitney U tests (p < 0.05) in order to compare the control group's mean performance with clinical groups.

Moreover is provided the mean value (mean performance) together with the standard deviation.

When limited knowledge of mean and variance of microphone mismatches is available, a robust FSBB design approach based on the worst-case mean performance optimization with the passband response variance (PRV) constraint is devised.

When limited knowledge of mean and variance of microphone mismatches is available to a designer, the robust FSBB design approach based on the worst-case mean performance (WCMP) optimization with the passband response variance (PRV) constraint is developed.

At the end of the pre-incentive period (2002-3) indicator groups also differed in mean performance scores (p<0.001), with the highest overall score for non-incentivised prescribing indicators and lowest for non-incentivised measurement indicators.

Both in the various subtests and in the total score, the mean performance of the patients with schizophrenia was poorer than that of the patients with bipolar I disorder, although in no case was the effect size measurement significant.

AFL planned agility times were only available in the talent pathway, with mean performance times similar across all groups.

In Figure 8 the first 3 dimensions of the mean performance are plotted together with the direction vectors computed in (23).

After surgery, task performance was stable across multiple sessions, ranging between 51 and 63%, with mean performance of 56±1%1% correct choices (Fig. 1C, right).

For each region, volumes of damage were correlated with mean performance residuals (deficits beyond the prediction from fluid intelligence, averaged across the five critical tasks) as above.