Sampled Meaning: Definition, Examples, and Translations

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sampled

[ˈsæmpld ]

Definition

Context #1 | Verb

data collection

Sampled refers to the process of selecting a subset of individuals, items, or data from a larger population for the purpose of analysis or testing. This technique is used across various fields, including statistics, research, and quality control, to draw conclusions or make decisions based on the characteristics of the selected samples. Sampling can help minimize costs and resources while still allowing for accurate representation of the whole. Different sampling methods include random sampling, systematic sampling, and stratified sampling.

Synonyms

chosen, extracted, gathered, selected.

Examples of usage

  • The researchers sampled 1,000 participants for the study.
  • We sampled different flavors to find the best one.
  • The quality control team sampled the production output.
  • In the experiment, a group of students was sampled to test the hypothesis.

Translations

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Interesting Facts

Science

  • In research, sampling allows scientists to make inferences about an entire population based on a small subset, essential for statistical analysis.
  • Biological samples can refer to tissues or fluids collected for study, crucial in medical research to understand diseases.
  • Environmental sampling involves collecting samples from nature, like soil or water, to monitor ecological health and pollution levels.

Music

  • Sampling in music involves taking a portion of a sound recording to create new music, which has revolutionized the music industry since the 1980s.
  • Famous artists like The Beastie Boys and Daft Punk have used sampling to blend different musical styles and create groundbreaking tracks.
  • Sampling has sparked debates about copyright issues, leading to legal cases that shape how samples are used in music today.

Statistics

  • Sampling methods include random sampling, where each member of a population has an equal chance of being selected, which helps avoid biases.
  • Stratified sampling divides the population into subgroups and samples from each, enhancing the accuracy of research findings.
  • The sample size is vital; too small a sample can lead to unreliable results, highlighting the balance needed in research design.

Culinary Arts

  • Cooking classes often use sampling to teach flavors, where students taste tiny portions to understand seasoning and balance.
  • Wine tasting events allow participants to sample different types for personal preference, showcasing the importance of sampling in gastronomy.
  • Food manufacturers commonly sample products during development to gather feedback before the final launch.

Origin of 'sampled'

Main points about word origin

  • The word comes from the Old French 'essample', meaning 'example' or 'model,' which reflects the idea of taking a part to represent a whole.
  • In Middle English, it was used in a similar context to describe patterns or models for imitation.
  • The practice of sampling has origins in varied fields, from agriculture to statistics, indicating its long-standing relevance.

The word 'sampled' is derived from the noun 'sample,' which has its roots in the late Middle English period. The term originates from the Old French 'essample,' which means 'a pattern' or 'a model,' and further back from the Latin 'exemplum,' meaning 'an example or sample.' The verb form emerged as the process of selecting samples became essential in various realms such as scientific research, statistics, and quality assurance. As methodologies for sampling evolved, the term 'sampled' became commonly utilized in both academic and practical contexts, often signifying the act of taking a representative portion from a larger population for analysis. The concept of sampling is fundamental across disciplines, from market research to environmental studies, reflecting its importance in obtaining insights and making informed decisions.


Word Frequency Rank

Position #8,367 indicates this is an advanced-level word. While not essential for basic communication, it will enhance your ability to understand and create more nuanced content.