Sentence examples for random from a population from inspiring English sources

The researchers, including Dr. Barabási's Northeastern colleagues Marta C. González and César A. Hidalgo, tracked 100,000 cellphone users selected at random from a population of six million for six months.

When psychologists selected teams at random from a population of volunteers to compete in simple games, members of each team soon came to think of members of other teams as less able and trustworthy, even when the participants knew they had been selected at random.

For example, suppose a researcher wishes to test the hypothesis that a sample of size n = 25 with mean x = 79 and standard deviation s = 10 was drawn at random from a population with mean μ = 75 and unknown standard deviation.

Sampling Procedure I, called also Tetranomial Sampling, is performed when we sample at random from a population.

The models can be used to characterize, e.g., material properties at small scale in which case their samples represent microstructures of material specimens selected at random from a population.

Data used for this research is assumed to be selected at random from a population and the likelihood function of the entire sample is the product of the likelihoods of each observation.

Matched controls (on age (±1 year), sex and region of residence) were identified at random from a population-based register (community health index) and invited via their general practitioner to participate.

A common strategy treats these effects as random by viewing levels as a random sample from a population (e.g., [ 21, 22]).

Secondly, random effects models treat the groups as a random sample from a population of groups.

Hierarchical (or multilevel) models consider the hospitals involved in the study as a random sample from a population of hospitals and partition the random variability of data into variability between different patients and between different hospitals.

Hierarchical (or multilevel) models consider the hospitals involved in the study as a random sample from a population of hospitals and partition the random variability of data into two parts: that between different patients and that between different hospitals.