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The phrase "a sampling error" is correct and usable in written English.
It can be used in contexts related to statistics, research, or data analysis to refer to the error that occurs when a sample does not accurately represent the population from which it is drawn.
Example: "The results of the survey may be skewed due to a sampling error, as the sample size was too small to be representative of the entire population."
Alternatives: "a sampling mistake" or "a sample error".
Exact(59)
One hopes it's a sampling error as simple as that, and not a bias that the polls are missing.
Now, would the existence of a sampling error reverse this conclusion?
My first thought was that it must have been a sampling error.
No one can take in more than a small fraction of the more than 2,000 bands on the schedule, and the move toward pop immediacy that I heard could be a sampling error.
Equally, the Halifax data looks like an extreme generated by a sampling error – the volumes of properties bought and sold each month have fallen to such lows that each individual survey is no longer necessarily a representative sample.
A sampling error in the U.S. administration of the most recent international (PISA) test resulted in students from the most disadvantaged schools being over-represented in the overall U.S. test-taker sample.
To explain this difference with the finding of Couturier and Lernould we hypothesize a sampling error.
The cumulative frequencies of arteries were not different between the groups excluding a sampling error.
It is either due to functional selections other than DYNLL binding, or could simply be a sampling error due to the limited number of known natural DYNLL binders.
This could be due to a sampling error, because no more than 14 individuals (1997) of this territorial species could be captured in our trapping area [68].
Similar(1)
Our results have important implications for cancer biomarker discovery in general and development of a sampling error-resistant clinical biopsy test for prediction of prostate cancer aggressiveness.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com