Sentence examples for in proportion of errors from inspiring English sources
(Differences were seen only in proportion of errors found, not in speed of reading).
There were no between-groups differences between heavy and light drinkers in proportion of errors on any picture type (ts < 1.00, ps >.10).
This last step ensures that group (or time-related) differences obtained from comparisons of item composite scores (i.e., summing and averaging across individual items) can be attributed to substantive differences on the construct and are not due to differences in proportion of error variance in item-level scores.
The results of Experiment 3 showed that there was no increase in the proportion of errors for non-dominant stress words when preceded by nonwords pronounced with the same stress pattern.
We see a clear decrease in the proportion of errors assigned to neighboring peaks as we move towards the end of the read, which is most likely due to the increase in pyrosequencing errors caused by widening flow value distributions.
The data collected were viewed in terms of proportion of errors, patient outcomes arising from the error and types of error.
The predictive ability of the two models was quite similar with both models resulting in a similar proportion of errors greater than 0.05 (35% for the mean level model and 38% for the random effects models, respectively) and both models resulting in two predictive errors greater than 0.10.
aOne episode could be recorded here as being in error for several reasons but was only recorded once in the proportion of error analysis.
We have shown that orthology assignment and the detection of important genetic events are severely impacted by the high proportion of errors in the initial set of protein sequences, even in high coverage genomes.
Proportion of errors in the congruent, incongruent, and control condition are presented in Table 2.
Efficiency here is defined in terms of the expected proportion of errors that occur (q-value) when a given proportion of the data is declared "significant" (i.e. the null hypothesis is believed not to hold for them).
