representation in the sample

USAGE SUMMARY

The phrase "representation in the sample" is correct and usable in written English.
It can be used in contexts related to statistics, research, or data analysis when discussing how well a sample reflects the larger population. Example: "The representation in the sample is crucial for ensuring the validity of the research findings."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

8 human-written examples

Among the four provinces that had higher representation in the sample, residents of Quebec and Alberta had a significantly lower likelihood of HMPS receipt in the adjusted analysis, and residents of British Columbia had a significantly lower likelihood of HHC receipt, as compared to Ontario residents.

Health Economics Review

In Gallup's case, a Huffington Post analysis this past June found that Gallup weights its initial sample of adults so that minority representation in the sample is roughly 2 percentage points lower than in the U.S. Census estimate it uses as a target.

Huffington Post

PhosphoScan® analysis is an MS approach that utilizes immunoaffinity purification of tyrosine phosphorylated peptides prior to MS analysis to enrich their representation in the sample [23].

Plosone

SNP incidence was low within introns, due to limited representation in the sample set.

BMC Plant Biology

Support staff and technicians had relatively little representation in the sample.

BMC Health Services Research

Clusters were randomly selected by using population proportional to size sampling, with the exception of Cité Soleil, which was undersampled to provide more geographic representation in the sample.

Emerging Infectious Diseases

Human-verified similar examples from authoritative sources

Similar Expressions

52 human-written examples

In fact, as discussed in the previous smoker example, features are likely to be multi modal with some modes having very low representation in the sampled dataset, but within those modes prevalence of one class may be significantly different from that for the remainder of the samples.

EURASIP Journal on Advances in Signal Processing

The greater number of infected pets than strays reflects their greater representation in the sampled population.

Emerging Infectious Diseases

A number of limitations are also acknowledged: these include under-representation in the sample of Trusts from the Midlands region and AMHS.

BMC Health Services Research

Therefore, ignoring this under-representation in the sample of the oldest age group would lead to an underestimate of prevalence of AMD.

British Journal of Ophthalmology

One possible reason for this discrepancy could be their under-representation in the samples analyzed, which in turn, may be explained by the small number of such accessions and the difficulties involved in obtaining seeds of these highly photoperiodic varieties.

Rice

Expert writing Tips

Best practice

When describing study samples, ensure that you clearly define the characteristics and method used to achieve appropriate "representation in the sample". This enhances the transparency and reproducibility of your research.

Common error

A common mistake is failing to acknowledge potential biases that could affect "representation in the sample". Always address limitations in your study design that may lead to under- or over-representation of certain groups.

Linguistic Context

The phrase "representation in the sample" functions as a noun phrase that describes the extent to which a sample accurately reflects the characteristics of a larger population. Ludwig's examples show its frequent usage in scientific and statistical contexts.

Expression frequency: Uncommon

Frequent in

Science

70%

News & Media

20%

Formal & Business

10%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

The phrase "representation in the sample" is a grammatically sound and useful term, primarily employed in research and statistical analysis to evaluate how well a sample reflects the characteristics of a larger population. As shown by Ludwig, this is especially important in scientific and academic contexts. Ensuring adequate "representation in the sample" is crucial for the validity and generalizability of research findings. Addressing potential biases and utilizing appropriate sampling techniques are key to achieving this goal. While the phrase is relatively uncommon, it maintains significant value due to its precision and clarity. Ludwig AI confirms its correctness and usability in written English.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

degree of representation in the sample

Quantifies the level of presence within the sample.

sample representativeness

Focuses directly on how well the sample reflects the population.

distribution within the sample

Highlights the spread and arrangement of elements inside the sample.

composition of the sample

Emphasizes the constituents and their proportions within the sample.

makeup of the sample

Describes the components and their arrangement in the sample.

prevalence in the sample

Indicates how commonly something occurs within the sample.

proportion in the sample

Highlights the ratio of a part to the whole sample.

incidence within the sample

Refers to the frequency of occurrence in the sample.

extent of inclusion in the sample

Focuses on the degree to which something is included.

sample demographics

Specifically relates to the demographic characteristics present in the sample.

FAQs

How can I ensure adequate "representation in the sample"?

To ensure adequate "representation in the sample", use appropriate sampling techniques such as stratified random sampling or quota sampling. These methods help reflect the characteristics of the larger population in your sample.

What does it mean if there is low "representation in the sample" of a particular group?

Low "representation in the sample" for a specific group means that the sample may not accurately reflect the characteristics of the overall population, potentially leading to biased results. Consider using oversampling techniques or adjusting the sample weights to address this issue.

What are some strategies to improve "representation in the sample"?

To improve "representation in the sample", consider employing strategies like increasing the sample size, using stratified sampling to ensure proportional representation of subgroups, or employing targeted recruitment methods to reach underrepresented populations. Addressing non-response bias is also critical.

What is the impact of poor "representation in the sample" on research outcomes?

Poor "representation in the sample" can lead to inaccurate or biased research findings, limiting the generalizability of results to the broader population. This can result in flawed conclusions and ineffective interventions.