larger sample

USAGE SUMMARY

The phrase "larger sample" is correct and usable in written English.
You can use it when you refer to a larger number or variety of a particular thing or group. For example, "If we want to get a more accurate understanding of the results, we should collect data from a larger sample than we used last time."

✓ Grammatically correct

Science

News & Media

Encyclopedias

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Perhaps with larger sample sizes.

The New York Times

Further research with a larger sample size is needed.

Nature

Larger sample sizes lead to smaller margins of error.

Britannica

Studying the disease in dogs thus gives researchers a larger sample.

The New York Times

With a larger sample, they had 100percentt accuracy, with no false positives.

The New York Times - Science

YouGov polled a larger sample than usual – 1,349 adults – between 10 and 16 January.

The Guardian

When a much larger sample was reviewed, a programming error surfaced.

The New York Times

These results should be confirmed in a larger sample.

Psychiatry Research

Further research is recommended with a larger sample size.

Journal of PeriAnesthesia Nursing

Further research might explore these factors with a larger sample.

Early Human Development

We now report that these trajectories are blunted in IR in a ~30-fold larger sample.

Nature

Expert writing Tips

Best practice

When discussing statistical significance, specify why a "larger sample" is necessary (e.g., to increase statistical power or reduce the margin of error).

Common error

Avoid simply stating that a "larger sample" is needed without explaining the specific benefits it will bring to the study or analysis. For instance, clarify whether it's to improve the representativeness of the population or to increase the accuracy of results.

Linguistic Context

The phrase "larger sample" functions primarily as a noun phrase that is often used as a subject or object in a sentence. It typically modifies a noun like 'size' or 'population'. Ludwig AI confirms this is correct and usable in written English.

Expression frequency: Very common

Frequent in

Science

68%

News & Media

23%

Encyclopedias

3%

Less common in

Formal & Business

1%

Wiki

1%

Social Media

0%

Ludwig's WRAP-UP

The phrase “larger sample” is a common and grammatically correct term, primarily used in scientific, news, and encyclopedic contexts. It signifies the necessity or utilization of a greater data pool to enhance result reliability, particularly in research. Ludwig AI underscores the validity of this phrase in English writing. When using “larger sample”, ensure to provide context regarding its benefits, such as improved statistical power or accuracy. Alternatives include phrases like "bigger sample" or "expanded sample".

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

bigger sample

Emphasizes the size of the sample.

expanded sample

Suggests that the original sample has been increased in size.

increased sample size

Focuses on the numerical aspect of the sample.

more extensive sample

Highlights the comprehensive nature of the sample.

substantial sample

Emphasizes the significant size of the sample.

ample sample

Suggests that the sample is sufficient for the purpose.

more representative sample

Implies better reflection of the population.

enhanced sample

Focuses on the improvement of the sample's quality.

broader sample

Indicates a wider range of diversity within the sample.

augmented sample

Suggests that the sample has been supplemented with additional elements.

FAQs

How does a "larger sample" size affect research outcomes?

A "larger sample" size typically increases the statistical power of a study, making it more likely to detect a real effect if one exists. It can also lead to more precise estimates and reduce the margin of error.

When is a "larger sample" size particularly important?

A "larger sample" size is especially crucial when studying rare phenomena, subtle effects, or diverse populations, as it helps ensure that the sample is representative and the results are reliable.

What are some alternatives to using a "larger sample"?

While increasing sample size is often beneficial, other strategies include improving the precision of measurements, using more efficient experimental designs, or focusing on populations where the effect is more pronounced. Alternatively, see "expanded sample" or "increased sample size".

How do researchers determine the appropriate "larger sample" size?

Researchers use power analysis to calculate the minimum sample size needed to detect an effect of a certain size with a specified level of confidence. This calculation depends on factors such as the expected effect size, the desired statistical power, and the significance level.