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Justyna Jupowicz-Kozak

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sample population

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "sample population" is correct and can be used in written English.
It is used to describe a subset of a larger population that is used to represent the whole. For example, you could say, "The results of the survey were extrapolated from a sample population of 500 participants."

✓ Grammatically correct

Science

News & Media

Academia

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Table 1 Demographics of the sample population.

Science & Research

Nature

Sample Population: 4541 individuals aged ≥20 years.

The study was also limited by its retrospective method and small sample population.

News & Media

The New York Times

The sample population consisted of 231 fourth-year nursing students.

When you are dealing with such a small sample population, of course, one anomaly can really throw things off.

The sample population is very different from that in the Khunti district.

The University of the Punjab was used for the sample population.

The majority of the points of the sample population would fall on the dome of the bell-shaped curve.

Encyclopedias

Britannica

The sample population of students came from a class of 25 first-year students.

The chosen model provided an excellent fit to the sample population for each region.

23 Iranian women age-ranged between 17 and 58 formed the sample population of the research.

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Expert writing Tips

Best practice

When describing your "sample population", be specific about the inclusion and exclusion criteria used to select participants. This enhances the reproducibility and clarity of your research.

Common error

Avoid drawing broad conclusions about the entire population based on a "sample population" that is not representative. Always acknowledge the limitations of your sample in the discussion section of your research.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

87%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "sample population" functions as a noun phrase that typically serves as the subject or object of a sentence, especially in research contexts. As Ludwig AI confirms, it is grammatically correct and frequently used to describe a subset of a larger group selected for study.

Expression frequency: Very common

Frequent in

Science

45%

Academia

25%

News & Media

20%

Less common in

Formal & Business

5%

Encyclopedias

3%

Reference

2%

Ludwig's WRAP-UP

In summary, "sample population" is a grammatically correct and very common noun phrase used to describe a subset of a larger population used for research or analysis. As Ludwig AI shows, it is frequently encountered in scientific, academic, and news contexts. To ensure clarity and reproducibility, it is important to be specific about inclusion and exclusion criteria. Avoid overgeneralizing from a narrow, non-representative sample. Consider using alternative terms such as "study cohort" or "participant group" depending on the context.

FAQs

How can I use "sample population" in a sentence?

You might say, "The effectiveness of the drug was tested on a "sample population" of 500 patients", or "The characteristics of the "sample population" should reflect those of the broader population to ensure generalizability".

What is the ideal size for a "sample population"?

The ideal size of a "sample population" depends on several factors, including the size of the overall population, the variability within the population, and the desired level of statistical power. Consult statistical resources or experts to determine the appropriate sample size for your research.

What does it mean for a "sample population" to be representative?

For a "sample population" to be representative, it should accurately reflect the characteristics of the larger population from which it's drawn. This means that the key demographics and traits of the sample should be proportional to those in the overall population.

What are some potential biases when selecting a "sample population"?

Common biases in selecting a "sample population" include selection bias (where certain individuals are more likely to be included in the sample), convenience sampling (selecting easily accessible individuals), and volunteer bias (where those who volunteer for the study differ systematically from those who do not). Careful sampling techniques are crucial to minimize these biases.

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Source & Trust

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Authority and reliability

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Real-world application tested

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