Examples of using Sampling error in English and their translations into Greek
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Colloquial
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Official
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Medicine
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Ecclesiastic
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Financial
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Official/political
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Computer
This method of sampling reduces sampling error.
Sampling error is not more than 2.3%.
The difference between the two is called sampling error.
The sampling error does not exceed 2.3%.
The term can also be used to mean sampling error in general.
Sampling error and sampling distribution.
The representativeness of the sample by reducing sampling error.
Theoretical sampling error does not exceed 2.3%.
In the short run we can estimate the degree of sampling error.
Even though there was no sampling error, there was obviously still error. .
This is likely to be an underestimate,due to sampling error.
One way to lower the sampling error is to increase the sample size.
Sampling error is the degree to which a sample might differ from population.
The best method to minimize sampling error is by increasing the size of the research.
This makes intuitive sense because when N= n, the sample becomes a census and sampling error becomes moot.
Non sampling error:≤ 1mgH2O error is less than the measured value of the± 0.
The most direct way of minimizing sampling error is to increase the sample size.
If the sample has different characteristics than the frame population,then we can introduce sampling error.
NOTE: Margin of Sampling Error, +/-3 percentage points with a 95% level of confidence.
The advantage of probability sampling is that sampling error can be calculated.
Results have a margin of sampling error of 3.5 points for the full sample, including the survey's design effect.
Survey Data Is Imprecise Margin of error amount of random sampling error in a survey's results.
Another problem relates to sampling error and paucity of suspicious cells in the FNA sample.
The margin of error is a statistic expressing of an amount of random sampling error in a survey's results.
Results have a margin of sampling error of 5.5 percentage points for the full sample, including the design effect.
If the sample has different characteristics than the frame population,then sampling can introduce sampling error.
The margin of error is a way to measure the sampling error in the results of a statistical survey.
Sampling error refers to differences between the sample and the population that exist only because of the observations that happened to be selected for the sample. .
Used more in the“old days”. Cluster sampling may increase sampling error due to similarities among cluster members.