Sentence examples for a large degree of error from inspiring English sources
Because there is such a large degree of error for motor vehicle injuries, it is more challenging to compensate for this through the aggregation of census boundaries.
Moreover, the patients' remarkable accuracy (mean of 95%) at replacing the borders in the haptic task (a task that permits a large degree of error in terms of area overestimation, see Figure 4A) suggests that the patients attended to and retained the scene details across the testing timeframe.
Here, BETI for the samples spiked with 25 cells was +0.562 and −0.546 at β = 95%, total error was 24.5% and average recovery 101% ± 24% coefficient of variation (CV), consistent with a large degree of random error but absence of systematic error and in keeping with previous studies [ 16].
This type of error typically results in a substantial increase in and a large degree of flexion error.
However, this does not exclude the possibility that exposure was assessed with a large degree of random error, which could bias the observed RR toward the null and introduce a lot of uncertainty into the potential dose response.
A large degree of imprecision (random error) was evident in the low QC data attributed to Analyst 3 coupled to a small negative bias in the high QC.
Whilst BeadChip technology has a degree of built-in replication (approximately 30 randomly positioned beads, to which are attached ~700,000 identical copies of a gene-specific probe [ 27]), this is no substitute for biological replicates, especially when a large degree of the observed error can be attributed to noise at the sample level, rather than at the probe level.
This is subjective error, reflecting a large degree of uncertainty regarding our exposure model estimates and a strong belief that if we mis-estimated the exposure to a participant in any one year, then we likely mis-estimated in the same direction for nearby years.
With the mean daily fluid intake in our study of ∼1700 ml, a mean error of >600 ml represents quite a large degree of inaccuracy.
As with the mathematics models, the Q-error statistic (QE) was quite large and statistically significant (see Table 3), which means a large degree of effect-size variability was not explained by the predictors.
This suggests a large degree of uncertainty.
