random sampling (Meaning)
random sampling (n)
the selection of a random sample; each element of the population has an equal chance of being selected
Synonyms & Antonyms of random sampling
No Synonyms and anytonyms found
random sampling Sentence Examples
- Random sampling is a method of selecting a representative subset of a population to study the characteristics of the entire group.
- By using a random sampling technique, researchers can ensure that every member of the population has an equal chance of being included in the study.
- Simple random sampling involves selecting each member of the population independently and with an equal probability.
- Stratified random sampling divides the population into subgroups or strata and then selects a random sample from each stratum.
- Cluster random sampling involves randomly selecting clusters of elements from the population and then selecting all elements within each chosen cluster.
- Random sampling helps to reduce bias in the selection of participants, ensuring that the sample is representative of the population.
- The sample size required for random sampling depends on the confidence level desired and the variability of the population.
- Random sampling is widely used in various fields, including statistics, research, and marketing.
- Systematic random sampling is another method where elements are selected at regular intervals from a list or frame.
- Convenience sampling, unlike random sampling, involves selecting participants who are readily available or easy to access, which can compromise the representativeness of the sample.
FAQs About the word random sampling
the selection of a random sample; each element of the population has an equal chance of being selected
No synonyms found.
No antonyms found.
Random sampling is a method of selecting a representative subset of a population to study the characteristics of the entire group.
By using a random sampling technique, researchers can ensure that every member of the population has an equal chance of being included in the study.
Simple random sampling involves selecting each member of the population independently and with an equal probability.
Stratified random sampling divides the population into subgroups or strata and then selects a random sample from each stratum.
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