Examples of using Sampling error in English and their translations into Spanish
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Country Sample Size Sampling Error.
Sampling error- Wikipedia, the free encyclopedia.
There may, however,be more sampling error.
Sampling error: 2.2% at a confidence level of 95%.
Note:* Not given due to larger sampling error.
The level of sampling error was set at 0.01%.
Sampling error for data from subsamples is higher and varies.
The messages indicating a sampling error have been corrected;
The CV provided with the recalculation of B0 represents the sampling error.
No estimates of theoretical sampling error can be calculated;
Non-sampling errors are much harder to quantify than sampling error.[3].
Often times, sampling introduces some kind of sampling error or.
Enables reduction in sampling error with inhomogeneous samples. .
In this case, the researcher is able to minimize or eliminate sampling error.
The survey's overall sampling error is plus or minus three percentage points.
As n increases(more students complete the survey), the sampling error gets smaller.
The margin of sampling error for total results is+ 5.1 percentage points.
Its accuracy can be limited,primarily by sampling error. Treatment Hysterectomy.
The sampling error for London was more than three times the allowable limit.
The sample size determines the amount of sampling error inherent in a test result.
Sampling error is the error caused by observing a sample instead of the whole population.
The minimum size of the sample was calculated considering a sampling error of 3%, with 95% confidence interval.
Final sample and sampling error The final sample included 1,522 valid surveys.
Sampling error is the deviation of the selected sample from the true characteristics, traits, behaviors, qualities or figures of the entire population.
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 processed quantitatively through the application of statistical methods, as expressed in such tests as statistical significance and confidence intervals.
It is worth stating that sampling error is usually 10% to 40% greater than that which would have been obtained with unrestricted random sampling.
It is worth stating that sampling error is usually 10% to 40% greater than that which would have been obtained with unrestricted random sampling.
It is worth mentioning that sampling error is usually between 10% and 40% higher than would have been obtained using unrestricted random sampling.
The best way to avoid sampling error brought by the expert is to choose the best and most experienced authority in the field of interest.