unbiased sampling - translation to ρωσικά
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unbiased sampling - translation to ρωσικά

SELECTION OF DATA POINTS IN STATISTICS
Sample (statistics); Statistical sampling; Sample survey; Random sampling; Random sample; Statistical sample; Sampling method; Sample population; Sample poppulation; Sampling (mathematics); Random allocation; Sample set; Representative sample; Sampling methods; Sample (probability); Sampling technique; Probability sample; Sampling techiques; Sampling techniques; Probability sampling; Sampling plan; Random sampling with replacement; Sampling (A level business); Random selection; Statistical Sample; Randomly selected; Unbiased sampling; Sampling Theory; Sampling scheme; Sample group; Data sample; Data sampling; N (statistics); With replacement; Without replacement; Double Labelling Experiment; Applications of statistical sampling; Random samples; Sample Surveys
  • A visual representation of selecting a random sample using the cluster sampling technique
  • A visual representation of the sampling process
  • A visual representation of selecting a simple random sample
  • A visual representation of selecting a random sample using the stratified sampling technique
  • A visual representation of selecting a random sample using the systematic sampling technique

unbiased sampling         

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беспристрастный выбор

unbiased sampling         
объективный [беспристрастный] выбор
unbiased sample         
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  • Simple pedigree example of sampling bias
BIAS IN WHICH A SAMPLE IS COLLECTED IN SUCH A WAY THAT SOME MEMBERS OF THE INTENDED POPULATION ARE LESS LIKELY TO BE INCLUDED THAN OTHERS
Logical fallacy/Biased sample; Spotlight (logical fallacy); Spotlight fallacy; Ascertainment bias; Sample bias; Biased samples; Sample selection bias; Biased sample; Non-random sampling; Spotlight bias; Bias the sample; Unbiased sample; Exclusion bias; Collection bias; Collecting bias; Preservational bias; Self-selection (labor economics)

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беспристрастная выборка

Ορισμός

random sample

Βικιπαίδεια

Sampling (statistics)

In statistics, quality assurance, and survey methodology, sampling is the selection of a subset (a statistical sample) of individuals from within a statistical population to estimate characteristics of the whole population. Statisticians attempt to collect samples that are representative of the population in question. Sampling has lower costs and faster data collection than measuring the entire population and can provide insights in cases where it is infeasible to measure an entire population.

Each observation measures one or more properties (such as weight, location, colour or mass) of independent objects or individuals. In survey sampling, weights can be applied to the data to adjust for the sample design, particularly in stratified sampling. Results from probability theory and statistical theory are employed to guide the practice. In business and medical research, sampling is widely used for gathering information about a population. Acceptance sampling is used to determine if a production lot of material meets the governing specifications.

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