gross sample

USAGE SUMMARY

The phrase "gross sample" is correct and usable in written English.
It is typically used in scientific or statistical contexts to refer to a sample that has not been processed or refined, often representing the total amount before any deductions or adjustments. Example: "The researchers collected a gross sample of the soil to analyze its composition before any treatments were applied."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

32 human-written examples

The unweighted gross sample consists of N = 10,240 cases.

Large-scale Assessments in Education

Table 4 Descriptive statistics   Gross sample Net sample Variables Mean S.E.

IZA Journal of Labor Policy

Overall, the interviewers were able to contact a gross sample [25] of 30,300 households.

European Transport Research Review

Thus, one interviewer did 19 interviews on average per year, referring to the gross sample.

The Journal of Headache and Pain

Based on the gross sample, a response rate of 35% was achieved among Polish migrants.

Comparative Migration Studies

The sample was introduced into capillary and separated immediately in the capillary with only about 2-nL gross sample consumption.

Talanta

Human-verified similar examples from authoritative sources

Similar Expressions

28 human-written examples

Composite samples were prepared from gross samples collected at different depths from each cardinal axis.

Journal of Analytical Science and Technology

Per year, approximately 640 trained interviewers interviewed between 10,898 and 12,538 German-speaking individuals aged 14 and older and living in private households in the whole of Germany (response rate: 67.4% and 73.1%, gross samples: 16,026 to 18,176 subjects).

The Journal of Headache and Pain

The process of going from the gross random sample to the sample assessed for eligibility and randomization is shown in Figures  1 and 2. As a first step towards selecting people for the trial, a random sample of 4,000 persons over the age of 65 years living at home - with 2,000 from each of the two municipal districts - was drawn from the Norwegian Population Register.

BMC Geriatrics

Table 1 illustrates the transition from the gross workplace sample to our final sample in detail.

Health Economics Review

As such, some of the generalized biogeographic and host specificity patterns of Symbiodinium may simply reflect a gross under-sampling of endosymbiont communities in marine invertebrates [9].

Plosone

Expert writing Tips

Best practice

When discussing research methodologies, use "gross sample" to clearly indicate the initial, unprocessed dataset before any exclusions or modifications.

Common error

Avoid assuming that "gross" in "gross sample" implies something negative or undesirable. It simply refers to the total, unadjusted sample size, not its quality or cleanliness.

Linguistic Context

The phrase "gross sample" primarily functions as a noun phrase within scientific and statistical contexts. It identifies the initial size of a sample before any data cleaning or exclusions. Ludwig confirms this usage through numerous examples in research papers.

Expression frequency: Common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

The phrase "gross sample" is a technical term predominantly used in scientific and statistical research to denote the initial, unprocessed size of a sample. As Ludwig AI confirms, it is grammatically sound and commonly found in academic and scientific publications. Related phrases like "raw sample" or "initial sample" can be used as alternatives, though "gross sample" specifically highlights the unadjusted nature of the data. When writing, use "gross sample" to clearly indicate the starting point of your dataset and avoid misinterpreting "gross" as a comment on data quality. Using both "gross sample" and net sample in your paper would signal transparency to your audience.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

raw sample

Focuses on the unprocessed nature of the sample.

initial sample

Emphasizes the sample's position as the starting point in a process.

unrefined sample

Highlights the lack of refinement or purification.

total sample

Indicates the entire quantity of the sample before any divisions or reductions.

bulk sample

Suggests a large quantity of sample material.

untreated sample

Stresses the absence of any prior treatment or processing.

as-received sample

Specifies that the sample is in its original condition upon receipt.

original sample

Highlights the sample's authenticity as the first instance.

whole sample

Implies that the entire sample is being considered without any subset selection.

composite sample

Refers to a sample made up of a combination of sub-samples.

FAQs

What is a "gross sample" in research?

In research, a "gross sample" refers to the initial, total sample size before any exclusions, adjustments, or data cleaning processes are applied. It represents the complete set of data collected.

How does a "gross sample" differ from a net sample?

A "gross sample" is the initial sample size, while the net sample is the remaining sample after removing invalid, incomplete, or otherwise unusable data points. The net sample is typically smaller than the "gross sample".

What are some alternatives to using the term "gross sample"?

Depending on the context, you can use alternatives such as "raw sample", "initial sample", or "total sample" to convey a similar meaning to "gross sample".

Why is it important to report both the "gross sample" and the net sample in a study?

Reporting both the "gross sample" and the net sample provides transparency about the data cleaning process and helps readers understand the extent of data loss or exclusion. This information is crucial for assessing the validity and generalizability of the study's findings.