sampling variation - traducción al ruso
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sampling variation - traducción al ruso

IN STATISTICS, ERROR THAT OCCURS SOLELY AS A RESULT OF USING A SAMPLE FROM A POPULATION, RATHER THAN THE WHOLE POPULATION
Sample error; Sampling variation; Sampling variability; Sampling variance

sampling variation         

математика

вариация элементов выборки

sampling error         

общая лексика

ошибка выборки

sample error         
ошибка выборки, ошибка выборочного обследования

Definición

variation
¦ noun
1. a change or slight difference in condition, amount, or level.
(also magnetic variation) the angular difference between true north and magnetic north at a particular place.
2. a different or distinct form or version.
Music a new but still recognizable version of a theme.
Ballet a solo dance as part of a performance.
Derivatives
variational adjective

Wikipedia

Sampling error

In statistics, sampling errors are incurred when the statistical characteristics of a population are estimated from a subset, or sample, of that population. Since the sample does not include all members of the population, statistics of the sample (often known as estimators), such as means and quartiles, generally differ from the statistics of the entire population (known as parameters). The difference between the sample statistic and population parameter is considered the sampling error. For example, if one measures the height of a thousand individuals from a population of one million, the average height of the thousand is typically not the same as the average height of all one million people in the country.

Since sampling is almost always done to estimate population parameters that are unknown, by definition exact measurement of the sampling errors will not be possible; however they can often be estimated, either by general methods such as bootstrapping, or by specific methods incorporating some assumptions (or guesses) regarding the true population distribution and parameters thereof.

Ejemplos de uso de sampling variation
1. But she cautioned that so few people in the survey reported robberies that the bureau cannot be certain whether those figures represent a true increase or a random sampling variation.
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