sampling error vs sampling errors

Both 'sampling error' and 'sampling errors' are correct, but they are used in different contexts. 'Sampling error' is used to refer to the error that occurs when the sample taken from a population is not representative of the whole population. On the other hand, 'sampling errors' can be used when discussing multiple errors related to the sampling process.

Last updated: March 30, 2024 • 469 views

sampling error

This phrase is correct and commonly used in statistics to refer to the error that occurs when the sample taken from a population is not representative of the whole population.

Use 'sampling error' when referring to the error that arises when the sample taken from a population does not accurately represent the entire population.

Examples:

The survey results had a sampling error of plus or minus 3%.
It's important to consider the sampling error when interpreting the study's findings.

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NCBs that choose a sampling approach for the selection of the reporting agents provide an estimate of the sampling error for the initial sample.
Each NCB that chooses the sampling approach shall identify at least one stratification criterion to ensure that the sample of credit institutions and other institutions is representative of the participating Member State and the sampling error small.
If the coefficient of variation cannot be calculated, the estimated sampling error in terms of the absolute number of vacant posts shall be provided instead.
Non-sampling errors are basically of four types:
3. Sampling errors together with any mistakes discovered in reporting as referred to in Article 3 shall be notified before 1 October of the year following the survey year.
Member State shall indicate with 'Y' (yes) or 'N' (no) whether sampling errors and non-sampling errors are measured and systematically documented, according to the European standards.
"Non-sampling errors" are errors that occur in all phases of the data collection and production process
'Reliability' shall be assessed according to 'precision' which refers to the scale of sampling errors and 'representativity' which refers to the lack of bias.
2. For each of the Member States, sampling errors for the results of the surveys provided for in Article 2 (2) shall not exceed 2 % (confidence interval of 68 %) of the total number of pigs.
"Sampling errors" refers to the variability that occurs at random because of the use of a sample rather than a census
In the case of livestock surveys, the sampling errors for the results of each Member State shall not exceed (with a confidence interval of 68 %):
Particular emphasis shall be given to models for the correction of non-sampling errors such as coverage of units of all requested size classes or NACE sections, imputation or grossing-up to correct for unit non-response.
a detailed description of the survey methodology: sampling methods, sampling errors and confidence intervals, sample size and estimated response rate,
sampling errors: these typically refer to errors resulting from the fact that a sample of units was observed rather than the entire set of units under study.
Court sampling reveals substantial errors that we are of course concerned to reduce to a minimum.
For the first wave of the EU-SILC longitudinal component, the information on sampling frame and coverage errors as defined in Annex II, point 2.3.1, of the present Regulation will be provided.
Sampling frame and coverage errors
Error in survey estimates which cannot be attributed to sampling fluctuations.
A projected error rate is calculated also in case of non-statistical sampling.
"Coverage errors" are errors due to differences between the target population and the sampling frame.

Alternatives:

margin of error
standard error
measurement error
statistical error
sampling variability

sampling errors

This phrase is also correct and can be used when discussing multiple errors related to the sampling process.

Use 'sampling errors' when referring to more than one error that occurred during the sampling process.