within-sample variability - Übersetzung nach russisch
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within-sample variability - 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

within-sample variability      

математика

изменчивость элементов выборки

sample space         
  •  Up or down? Flipping a brass tack leads to a '''sample space''' composed of two outcomes that are not equally likely.
  • Flipping a coin leads to a '''sample space''' composed of two outcomes that are almost equally likely.
  • A visual representation of a finite sample space and events. The red oval is the event that a number is odd, and the blue oval is the event that a number is prime.
SET OF ALL POSSIBLE OUTCOMES OR RESULTS OF A STATISTICAL TRIAL OR EXPERIMENT
SampleSpace; Probability/Sample space; Sample Space; Sample spaces; Universal sample space; Sample description space; Possibility space

['sɑ:mp(ə)lspeis]

общая лексика

выборочное пространство

пространство выборок

within         
WIKIMEDIA DISAMBIGUATION PAGE
Within (album); Within (disambiguation)
within 1. prep. 1) в, в пределах; within sight - в пределах видимости; it is true within limits - до известной степени верно; to come within the terms of reference - относиться к ведению, к компетенции; to keep within the law - не выходить из рамок закона 2) в, внутри; within the building - внутри дома; hope sprang up within him - у него появилась надежда 3) не далее (как), не позднее; в течение; within a year - в течение года; через год 2. adv. obs. внутри; to stay within - оставаться дома; is Mrs. Jones within. - дома миссис Джоунз. 3. noun внутренняя сторона; the door opens from within - дверь открывается изнутри

Definition

variability

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.

Übersetzung von &#39within-sample variability&#39 in Russisch