Sentence examples for enormous samples from inspiring English sources

Exact(2)

The administrative data give us enormous samples with which to study particular groups of students, with very detailed information on educational experiences and outcomes for every public school student in a particular year.

Suppose that we have enormous samples such that we learn the true distribution in the population of costs and effects for treatment 1 and the true distribution of costs and effects for treatment 2. In particular, we will also learn the true distribution of net benefits Bi(K) for each treatment.

Similar(57)

Mining the resulting terabyte or so of data will allow astronomers to investigate the evolution of galaxies, for example, since the SDSS will provide an enormous sample of them.And even the SDSS will represent only a single snapshot of the sky.

Today, as on previous general election days, a consortium of pollsters spoke to over 20,000 voters outside polling stations around the country and asked them how they had voted an enormous sample based, unlike pre-election polls, on reported behaviour, not voters' intentions.

Pilachowski and Pace's enormous sample size strengthens their conclusions, Jönsson says.

This enormous sample size outweighs the disadvantage of plot-level increases in uncertainty when it comes to estimating uncertainty in the mean.

Mostly, though, the problem is simply how infrequent heart attacks or diabetes or death would be in such a trial, requiring an enormous sample size and lengthy timeline.

The CPS and ACS feature in-person interviews, enormous sample sizes and very high response rates, making them some of the most reliable surveys available.

We would again expect variations on the sensible theme of fire fighting such as these to produce very tiny differences in outcomes, meaning we would need an enormous sample, a lot of time, and a lot of money to append this bit of specificity to the fundamentals we already knew.

For this reason, enormous sample sizes would probably be needed to distinguish real patterns from random expectations.

This poses a major challenge, requiring enormous sample sizes (e.g. model B in Figure 4 to discover these variants.

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