Sentence examples for correct compared to from inspiring English sources

The action costs for quality errors that were found and corrected on the market were further 12.2 times more expensive to correct compared to actions taken in the factory.

Means and SDs are presented in Table 4. Reaction time (RT): A significant main effect of Group [F 2,59) = 4.566, P<.05] and Response [F 2,59) = 25.129, P<.000] was found, indicating longer RT for the dyslexics compared to controls and longer RT for correct compared to error responses for both groups.

The latter was shown by the Akaike's information criterion: it calculated that there is a 95.8% likelihood that a simple model where all hill slopes of the growth curves (representing growth speed) was correct compared to only a 4.2% likelihood that a more complex model with a different hill slope for each curve was correct.

All 55 BIRNLex annotations were deemed correct, compared to 84% of the FMA annotations.

Forty-nine per cent of college/university educated participants were correct compared to 33% of those who were school educated (P=0.004; χ).

With 30 training exemplars, classification using the best 10 neurons for each class was 61.7 % correct, compared to chance performance of 50%% correct.

For pAKT-Ser, only the uncommon mutants had significantly higher levels by RPPA (p < 0.05; t-test Bonferroni corrected) compared to wild type or helical domain mutants.

For the four early stage decision aids, our raw results showed 580 correct responses to 1275 questions prior to reviewing the decision aid (45 % correct) as compared to 938 correct responses to the same 1,275 questions after (74%% correct), a statistically significant increase in knowledge (p < 0.001).

The final model had pseudo R = 0.77 with 91% correct predictions (compared to 52% correct predictions for an uninformative model) hence smoking status for the previous surveys was highly predictive of current status for individuals.

Pseudo R for the model was 0.47 with 81% correct predictions (compared to 59% correct predictions for an uninformative model) indicating moderate predictability of current BMI group for individuals based on BMI group at the two previous surveys.

There is previous evidence however to indicate MTL regions are preferentially involved in correctly identifying new words (correct rejection) compared to correctly identifying old words (correct recognition) [ 35].