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The phrase "account for errors" is correct and usable in written English.
You can use it when discussing the need to consider or explain mistakes or discrepancies in a particular context, such as data analysis or reporting.
Example: "In our final report, we must account for errors in the data collection process to ensure accuracy."
Alternatives: "consider mistakes" or "explain discrepancies".
Exact(30)
"Effectively, every speed limit is actually five miles higher to account for errors in the reading equipment and the speedometers," he said.
The manufacturing and services conglomerate Tyco International posted a 38percentt increase in quarterly profit yesterday but forecast a charge of $171 million to account for errors it said it had found in its stock options grants.
Procedures have recently been developed to account for errors associated with estimating diets in the absence of choices and to calculate the correct probability that observed patterns of choice of prey represent a deviation from random selection, i.e. that there is a preference.
Alternative methods to investigate and account for errors in this research are proposed.
The trust says IT surveillance on its wards is backed up by a policy of holding staff to account for errors.
Fits used weighted orthogonal distance regression [26] to account for errors in both variables, with weights set to the reciprocals of the variance of voxel values in the myocardium VOIs.
Similar(30)
These steps are designed to account for error information associated with the included observation sets during the assimilation process.
In our future work, we will take channel coding into account for error performance analysis.
Nicholas Butterfield, a paleobiologist at the University of Cambridge in the United Kingdom, acknowledges that the researchers did attempt to account for error.
Any direct theory of perception must account for error: If we perceive the world directly, how is it that we make mistakes about it?
The report found that the department's annual crime numbers did not account for error rates among less serious offenses.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com