Sentence examples for always be accuracy from inspiring English sources

The phrase "always be accuracy" is not correct in English.
It should be "always be accurate." You can use the corrected phrase when emphasizing the importance of precision and correctness in communication or actions.
Example: "In our reports, we must always be accurate to maintain credibility and trust with our clients."
Alternatives: "always be precise" or "always be correct."

Exact(1)

Whether or not it is used, the overall guiding principles in reporting should always be Accuracy, Completeness, and Transparency (ACT principles): tell the reader precisely all what you did and why.

Similar(59)

The result of a mathematical calculation, for example, need not always be calculated precisely an accuracy of two or three decimal places is often enough.

Indicator data should always be evaluated for accuracy and usefulness relative to the assessment objectives using clearly established protocols (Vellidis and others 2003a).> -wrap-foot> The bold letter indicates the top 30%% of overall subwatershed ranks The application of our conceptual model does not allow us to quantify sediment load reduction per dollar invested.

To describe our requirement that the theoretical accuracy always be better than the empirical at all q-values, we need to define functions that map q-values to scores.

Duke Coach Mike Krzyzewski said afterward that he did not assign a position to Scheyer, but sharpshooter accuracy will always be his hallmark.

Compensation of nonlinear smart sensors is an important topic that must always be considered to assure the accuracy of measurement systems.

Their accuracy can always be made as high as that of the interior approximation, and it will not deteriorate even when integrating over long time intervals.

The accuracy will always be of 100% in those cases.

Forecast accuracy should always be measured on reserved data and common forecasting measures should be used to facilitate comparison between studies.

In addition, there must always be a balance between the accuracy of an assessment method and the burden it imposes on the respondent.

They concluded that prediction accuracy should always be measured on reserved data (i.e., data not used in model development) and common prediction measures should be used to allow model comparison.

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