Sentence examples for accuracy and quantity of the data from inspiring English sources

The phrase "accuracy and quantity of the data" is correct and usable in written English.
It can be used when discussing the reliability and amount of data in a research or analytical context.
Example: "The accuracy and quantity of the data collected during the experiment were crucial for drawing valid conclusions."
Alternatives: "precision and volume of the data" or "reliability and amount of the data".

Exact(1)

The default value for dr is set as 0.2 in the examples shown in this article, but it will generally depend on the accuracy and quantity of the data.

Similar(59)

The accuracy of this implicit relation depends, to a large extent, on the quality and quantity of the data used for training the network.

Nevertheless, the quality and quantity of the data make this an uncommonly valuable study.

Further, the accuracy of these estimates will largely depend on the quality and quantity of the available experimental data.

As the qualities and quantities of the observational data are progressively being improved by the launching of continuous lunar missions, such as SELENE, Chang'e, and Chandrayaan-1, transport simulations with an increased accuracy is required.

Moreover, as discussed above, the quality and quantity of qPCR data input to the chosen model are also likely to be of critical importance in determining the accuracy of PMR estimation.

The accuracy of isopach map derived volume estimates depends on quality and quantity of thickness data and how isopach contours are drawn.

"This new methodology will improve the quality and quantity of data we provide our participants and the increased accuracy will be of benefit to trainers, jockeys, owners and betting customers," Jamie Stier, the BHA's director of raceday operations and regulation, said on Wednesday.

BHA director Jamie Stier said: "This new methodology will improve the quality and quantity of data we provide our participants and the increased accuracy will be of benefit to trainers, jockeys, owners and betting customers".

The formulation, accuracy, and efficacy of data assimilative models are highly dependent upon the quality and quantity of interdisciplinary observational data.

The power of AI usefulness is a function of the quality and quantity of data.

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