representative sampling Antonyms
No Synonyms and anytonyms found
Meaning of representative sampling
Wordnet
representative sampling (n)
the population is divided into subpopulations (strata) and random samples are taken of each stratum
representative sampling Sentence Examples
- A representative sampling is crucial to accurately reflect the characteristics of the larger population.
- Statistical inferences made from representative samples provide reliable estimates for the entire population.
- Researchers carefully select samples to ensure they represent the demographic, economic, and social diversity of the target group.
- Representative sampling requires proper randomization and selection techniques to minimize bias.
- Data collected from a representative sample can be generalized to the broader population, provided sampling methods are rigorous.
- Surveys and polls often utilize representative sampling to obtain insights into public opinion or consumer preferences.
- Market research relies heavily on representative sampling to evaluate product performance and identify target audiences.
- Medical studies employ representative sampling to determine the efficacy and safety of new treatments and therapies.
- Environmental scientists use representative sampling to assess the health of ecosystems and monitor pollution levels.
- Representative sampling forms the foundation of data analysis and decision-making in various fields, ensuring the accuracy and reliability of research findings.
FAQs About the word representative sampling
the population is divided into subpopulations (strata) and random samples are taken of each stratum
No synonyms found.
No antonyms found.
A representative sampling is crucial to accurately reflect the characteristics of the larger population.
Statistical inferences made from representative samples provide reliable estimates for the entire population.
Researchers carefully select samples to ensure they represent the demographic, economic, and social diversity of the target group.
Representative sampling requires proper randomization and selection techniques to minimize bias.
