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What is stratified sampling?

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Stratified sampling is a method where the population is divided into distinct subgroups (strata) that share similar characteristics, and random samples are taken from each stratum.

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What is systematic sampling?

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Systematic sampling involves selecting every k-th individual from a list or sequence after a random starting point.

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What is cluster sampling?

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Cluster sampling is a sampling technique where the population is divided into clusters (often geographically), and entire clusters are randomly selected for the survey.

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What is simple random sampling?

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Simple random sampling is a method where every individual in the population has an equal chance of being selected.

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What is convenience sampling?

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Convenience sampling is a non-probability sampling method where samples are taken from a group that is easily accessible.

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What is voluntary response sampling?

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Voluntary response sampling is a method where individuals choose to participate in a survey, often leading to biased results.

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How does stratified sampling differ from cluster sampling?

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Stratified sampling focuses on ensuring representation from each subgroup, while cluster sampling involves selecting entire groups without regard to the characteristics of individuals within those groups.

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What is the purpose of using sampling methods?

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Sampling methods are used to gather data from a subset of a population to make inferences about the entire population.

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What is a potential drawback of convenience sampling?

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Convenience sampling can lead to biased results because it does not represent the population accurately.

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What is the role of random selection in sampling?

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Random selection helps to eliminate bias and ensures that every individual has an equal chance of being included in the sample.