The phrase "a potential for error" is correct and usable in written English.
It can be used when discussing the possibility of mistakes or inaccuracies in a process, system, or analysis.
Example: "In any scientific experiment, there is always a potential for error that must be accounted for in the results."
Alternatives: "a risk of error" or "a chance of error".
"There is a potential for error," he said.
Despite thorough checking, with so many tightly packed facts the column has a potential for error quite disproportionate to its size.
In particular, adolescents have shown decrements relative to adults in ACC recruitment by pre-decision conflict when opting for rewards with a potential for error [6], [7].
Healthcare processes, technologies and team structures are complex, which creates a potential for errors.
But several analysts said most corporations were not likely to upgrade to accommodate the PlayBook because in addition to cost, there is a potential for errors causing widespread disruption.
In response to questions, the law firm said in a written statement that Judge Ciaffa had not had all the facts but that the firm would not appeal .As with any firm or business that handles this type of volume," it added, "there exists a potential for errors or omissions in the normal course of business".
Since there is a potential for errors, inaccuracies, and misinterpretation in transcribing data onto the CRFs, the following documents are available at all times for inspection and comparison to the CRFs by the study monitor where appropriate: data query forms, originals and certified copies of all relevant records and reports, copies of test results.
This apparently simple operation bears a potential for dosage error that increases if the tablets are not scored.
When using area-based measures, there is a potential for misclassification error in the ascertainment of SE status.
Data for our retrospective study was accessed via Protos database [ 26] which is completed by the healthcare professional, hence a potential for human error in the data input.
Buying clothes like a blouse, for example, carries a high potential for error.
