Sentence examples for sample of a population from inspiring English sources

Exact(22)

Margin-of-error calculations assume that pollsters are doing everything right — other than taking a random sample of a population, thereby introducing sampling error.

In the nineteen-thirties, social scientists argued for the merits of a shortcut that relied on statistical science: surveying a tiny but representative sample of a population.

We need to learn how to work with massive incomplete and biased data: social media is not a statistically representative sample of a population; the demographics of users are frequently unknown; not all posts are geo-referenced when they are published.

Find out, for each member of a representative sample of a population, how many individuals that person knows altogether, and how many he knows in particular groups of interest (eg, drug users, or women called Olivia).

As they report in Science, climate change does indeed stoke strife, from cross-border wars to homicide.Dr Hsiang, then at Princeton University, could not perform the gold-standard of scientific research, a controlled experiment, for this would require altering the climate for one random sample of a population but not another, while keeping all other aspects of the samples' environment constant.

It is therefore important to note that a Twitter data analysis cannot be seen as a representative sample of a population.

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Similar(38)

The best is a randomized clinical trial in which a hypothesis is tested on a sampling of a population, with only one half receiving the drug or intervention being tested.

Experimental stimulus sets are samples of a population of stimuli.

Bins of ∼1 bp in length were manually selected across all samples of a population wherever visual bands were present within the 60 to 350 bp size range.

Variability is a property of the system (e.g., environmental or genetic variations) that does not decrease when larger samples of a population are observed.

A weighted analysis may provide better estimation when using aggregated data from random samples of a population to make inferences at the individual level.

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