Sentence examples for and quantity of data from inspiring English sources

The phrase "and quantity of data" is correct and usable in written English.
It can be used when discussing the amount or volume of data in a specific context, such as research, analysis, or data management.
Example: "The study focused on the quality and quantity of data collected during the experiment."
Alternatives: "and amount of data" or "and volume of data".

Exact(53)

Since the arrival of the e-world there has been much talk of building deeper relationships based on the previously undreamed of quality and quantity of data, providing a new depth of knowledge and the ability to anticipate consumer needs.

Finally, most coaches, clubs and managers have access to the same quality and quantity of data, but significant differences between their performances remain because human decision-making still dominates the game.

"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.

But Leon asked the right question, the one that the FISA court, Obama, and key House and Senate Intelligence Committee leaders have failed to ask since 2006: Has the nature and quantity of data that we all relinquish to third parties changed so fundamentally since 1979 that the doctrine set out by Smith is no longer useful as a constitutional roadmap?

The federal Commission on Civil Rights has shelved a yearlong investigation into possible gender bias in college admissions because of disagreements over the quality and quantity of data subpoenaed from 19 colleges.

"The pelvic floor muscle is a complicated part of the body and universities have never had such quality and quantity of data before.

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Similar(7)

Nonetheless, these experiments show that our statistical method, when combined with the types and quantities of data we have available, can produce a reliable inference.

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

Those that hit the NHS can be the most devastating due to the sensitive nature and quantity of patient data.

The modeling approach may be decided by the quality and quantity of the data.

This leverages a grassroots community which constantly updates the quality and quantity of available data and applications on the platform via a web editor or an API.

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