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Etymologie

variability error - Übersetzung nach russisch

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

variability error

математика

ошибка за счет изменчивости

observational error

DIFFERENCE BETWEEN A MEASURED QUANTITY VALUE AND A REFERENCE QUANTITY VALUE

ObservationalError; Measurement error; Experimental error; Systematic bias; Random error; Systematic error; Systemic error; Alleged systemic bias; Random errors; Systematic errors; Measurement errors; Observational Error; Systematic effect; Chance error; Accidental error; Constant error; Stochastic error; Observation error; Systematic and random error; Systematic and random errors; Random and systematic errors; Measurement Error

общая лексика

ошибка наблюдения

systematic bias

DIFFERENCE BETWEEN A MEASURED QUANTITY VALUE AND A REFERENCE QUANTITY VALUE

ObservationalError; Measurement error; Experimental error; Systematic bias; Random error; Systematic error; Systemic error; Alleged systemic bias; Random errors; Systematic errors; Measurement errors; Observational Error; Systematic effect; Chance error; Accidental error; Constant error; Stochastic error; Observation error; Systematic and random error; Systematic and random errors; Random and systematic errors; Measurement Error

математика

систематическая ошибка

Definition

ляпсус

м.
Ошибка, оговорка, досадный промах (обычно в устной речи и на письме).

Weitere Definitionen anzeigen

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.

https://en.wikipedia.org/wiki/Sampling error

Übersetzung von &#39variability error&#39 in Russisch