Примеры использования Sampling error на Английском языке и их переводы на Русский язык
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Sampling Error.
This reduces overall sampling error.
Sampling error and design effect.
Not given due to larger sampling error.
The sampling error does not exceed 4.9%, CI 95.
Clustering, unlike stratification, tends to increase overall sampling error.
Sampling error tables are published as part of the HIES quality assessment.
The amount by which p is wrong, i.e., the amount by which it deviates from, is called sampling error.
This introduces sampling error to the census for some items.
Work has continued on developing appropriate methodologies to estimate the sampling error of the retail price index RPI.
Sampling error gives some idea of the precision of the statistical estimate.
Should cell entries with“large” sampling error be presented in a different font in order to alert a user.
The supplementary list proved workable andcontributed positively to reducing overall sampling error at the national level.
The sampling error for London was more than three times the allowable limit.
The minimum size of the sample was calculated considering a sampling error of 3%, with 95% confidence interval.
Knowing the sampling error of the CPI is not only important for the users of the CPI but also for the CPI statisticians.
A disadvantage of this sampling method is the loss of accuracy in the results,as each cluster is characterized by sampling error.
Its purpose is to reduce sampling error caused by selecting one PSU to represent an entire stratum.
The level of popularity of the majority of significant NGOs that have projects and programs of changes, according to the research,seldom exceeds the sampling error.
It only increased the sampling error slightly and confirmed the 0.1 per cent overall standard error. .
The range of statistics that can be obtained for the estimate of the population parameter through sampling is referred to as the sampling error.
Sampling error is an indicator that measures the degree of variation in the estimates obtained on the basis of all possible samples. .
Further, that methods to derive spatially explicit sampling error values and methods to include additional process error will need to be developed.
Sampling error can be generated by ran- dom fluctuations in the sample drawn or by a systematic bias in the way the sample is drawn.
In particular, given its very small size it is virtually impossible to reduce the sampling error below a certain threshold regardless of budget.
Measuring sampling error is often rendered challenging by a lack of documentation and metadata on survey design and implementation.
And sixthly, the equivalence of samples is particularly important: the sampling error always takes place, but let it be the same for all countries(or other social groups) under study.
The difference between the responses obtained from any given sample andthe responses that would have been obtained if the entire population had been surveyed is known as sampling error.
While the size of the sampling error can be estimated using standard statistical methods, non-sampling errors are more difficult to quantify.
In cultural drift, the frequency of cultural traits in a population may be subject to random fluctuations due to chance variations in which traits are observed andtransmitted sometimes called"sampling error.