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Meaning of sampling techniques
The primary meaning of "sampling techniques" refers to the methods used to select a representative subset of data or individuals from a larger population for the purpose of analysis or research.
Etymology of sampling techniques
The word "sampling" comes from the Old English word "sampan", which means "to taste" or "to try", and the Latin word "exemplum", which means "example" or "sample".
The term "techniques" comes from the Greek word "techne", which means "art" or "skill", and the Latin word "technica", which refers to the practical application of a skill or art.
The phrase "sampling techniques" has been in use since the mid-20th century, particularly in the fields of statistics and research methodology.
Synonyms
Definitions
- According to Oxford Languages, "sampling techniques" refers to the methods used to select a sample of individuals or data from a larger population, often for the purpose of statistical analysis or research.
- The term encompasses a range of methods, including random sampling, stratified sampling, cluster sampling, and quota sampling, among others.
- Sampling techniques are used in various fields, including statistics, marketing, social sciences, and medicine, to make inferences about a population based on a representative sample.
Usage Examples
- The researcher used sampling techniques to select a representative sample of participants for the study.
- The company employed sampling techniques to gather data on customer preferences and behaviors.
- The statistical analysis relied on sampling techniques to make inferences about the population based on a limited dataset.