is subject to sampling error

USAGE SUMMARY

The phrase "is subject to sampling error" is correct and usable in written English.
It can be used in contexts related to statistics, research, or data analysis to indicate that the results may vary due to the method of sampling. Example: "The survey results indicate a significant trend, but they are subject to sampling error, which should be considered when interpreting the data."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

7 human-written examples

Any individual poll is subject to sampling error (it is quaint to British eyes to see the old "plus or minus four points" rubric on American polls – we gave up such pedantry some years ago), but the point about this week is that they all got it wrong.

Independent

While large vessels such as the aorta can be visualized at necropsy, smaller arteries require multiple sampling for histology and quantification is subject to sampling error.

EJNMMI Research

Indeed TRUS-guided biopsy, even with an extended or saturation method, is subject to sampling error.

BioMed Research International

Like other polls, the Current Population Survey is subject to sampling error, a result of collecting data among a random subsample of the population rather than everyone in the state.

The New York Times

In addition, this approach is subject to sampling error, and its results depend upon the neuropathologist's experience [ 2].

Cancer Imaging

The underlying rate at which any particular article is cited is subject to sampling error, as is the underlying rank.

BMC Medical Research Methodology

Human-verified similar examples from authoritative sources

Similar Expressions

53 human-written examples

At the same time, all polls are subject to sampling error – the variance that inevitably creeps in because you are surveying just a subset of the population rather than everyone in America.

The New York Times

Genetic drift is the change in allele frequency from one generation to the next that occurs because alleles are subject to sampling error.

Wikipedia

Gene expression can be estimated by counting gene-specific SAGE and EST tags but, as a stochastic process, these estimates are subject to sampling error.

BMC Genomics

While this may appear to be an objective method of validation, it is only pertinent to those patients who come to surgery or biopsy, and may be subject to sampling error.

Cancer Imaging

Results of any sample are subject to sampling variation.

TechCrunch

Expert writing Tips

Best practice

When using the phrase "is subject to sampling error", always specify the potential impact of this error on the interpretation of results. This helps readers understand the limitations of your analysis.

Common error

Avoid using "is subject to sampling error" as a disclaimer without attempting to estimate or acknowledge the magnitude of the potential error. Provide confidence intervals or other measures of uncertainty when possible.

Linguistic Context

The phrase "is subject to sampling error" functions as a descriptive modifier, indicating that a particular result, estimate, or conclusion is susceptible to inaccuracies stemming from the sampling process. Ludwig AI confirms its usability for expressing uncertainty in data analysis.

Expression frequency: Uncommon

Frequent in

Science

60%

News & Media

30%

Formal & Business

10%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

The phrase "is subject to sampling error" is a useful expression to acknowledge the limitations of research based on samples. Ludwig AI confirms its grammatical correctness and usability. It's primarily employed in formal and scientific contexts, such as academic papers and research reports, to temper claims and encourage cautious interpretation of results. Remember to quantify potential errors when possible and use alternatives like "is prone to sampling bias" or "is liable to sampling variability" for nuanced meanings.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

is prone to sampling bias

Focuses on the bias that the sampling method might introduce.

is susceptible to sampling inaccuracies

Emphasizes the potential for inaccuracies due to the sampling process.

is liable to sampling variability

Highlights the variability in results that sampling can cause.

carries the risk of sampling error

Emphasizes the risk associated to error that may come from the sampling.

is vulnerable to sampling deviations

Indicates sensitivity to deviations arising from the sample selection.

is affected by sampling flaws

Highlights the flaws in sampling.

can be influenced by sampling error

Focuses on influence rather than direct subjection.

is sensitive to sampling irregularities

Draws attention to irregularities that sampling can introduce.

is open to sampling imprecision

Highlights the imprecision associated with the sampling method.

is contingent on sampling precision

Highlights the dependence on how precisely the sample was drawn.

FAQs

How does sampling error affect the interpretation of results when something "is subject to sampling error"?

Sampling error means that the results obtained from a sample may not perfectly reflect the true population values. When something "is subject to sampling error", it's important to consider the potential range of values within which the true population value might fall. This range is often expressed as a confidence interval.

What are some strategies to minimize sampling error?

To minimize sampling error, you can increase the sample size, use stratified sampling to ensure representation of different subgroups, and employ random sampling techniques to avoid bias. Properly designed experiments and surveys can also help reduce the impact of sampling error.

What is the difference between sampling error and other types of errors in data collection?

Sampling error arises specifically from using a sample instead of the entire population. Other types of errors include measurement error (inaccuracies in data collection), non-response error (when some subjects don't participate), and processing error (mistakes in data handling). Unlike sampling error, these errors can occur even when studying the entire population.

What can I say instead of "is subject to sampling error"?

You can use alternatives like "is prone to sampling bias", "is liable to sampling variability", or "is susceptible to sampling inaccuracies" depending on the specific context.