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The phrase "a very large sample" is correct and usable in written English.
It can be used when discussing research, statistics, or data collection to indicate that the sample size is significantly big.
Example: "In our study, we analyzed a very large sample to ensure the results were statistically significant."
Alternatives: "an extensive sample" or "a substantial sample".
Exact(60)
Dr. Leitzmann said neither factor would probably skew the results considerably because "it's a very large sample of people".
The Earth can be assumed to be a very large sample containing lead evolving from primordial lead by radiogenic increments.
That report, based on data from the Current Population Survey, is considered the standard because it includes information from about 100,000 households, a very large sample.
A Public Policy Polling survey, which had a very large sample size, gave him 16 percent of the vote, enough to challenge Ron Paul for second place.
Special emphasis is placed here on the need for precise, rather than unbiased, estimation methods in microbial ecology, but precision can be judged only with a very large sample or with multiple samples drawn from a single community.
This is unlikely to come from random sampling of even a very large sample space, but the odds are much improved by incorporating packing preferences revealed by a modest sized configurational library established from empirical potential calculations.
In either case, if the causal SNP is in high linkage disequilibrium with other SNPs, the fine-mapping procedure will require a very large sample size for the identification of the causal SNP.
Flurry's analytics are in more than 150,000 apps, so they have a very large sample size.
Due to lack of funding, it was difficult to administer questionnaires to a very large sample.
The census data provide a very large sample of immigrants, with specific information on their countries of birth.
"The American Community Survey is a small sample that is more representative of the underlying population; Facebook is a very large sample but not representative.
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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