Sampling Methods Practice

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What is a stratified sample?

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A sampling method where the population is divided into subgroups (strata) and a fixed number of units are randomly selected from each subgroup.

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What is systematic random sampling?

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A sampling method where every nth individual is selected from a list or queue, such as surveying every 25th guest at a restaurant exit.

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What is a cluster sample?

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A sampling method where the population is divided into clusters, and entire clusters are randomly selected for the sample.

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What defines a cluster sampling design?

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Units of the population are grouped into clusters, one or more clusters are selected at random, and all units within those clusters are included in the sample.

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What is the difference between stratified and cluster sampling?

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Stratified sampling involves selecting individuals from each subgroup, while cluster sampling involves selecting entire groups.

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What is a simple random sample?

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A sampling method where every individual in the population has an equal chance of being selected.

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What is voluntary response sampling?

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A sampling method where individuals choose to participate in the survey, often leading to biased results.

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What is the purpose of sampling methods?

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To obtain a representative subset of a population for analysis, making it easier to draw conclusions without surveying the entire population.

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What is a population in the context of sampling?

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The entire group of individuals or instances about whom we hope to learn.

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What is a sample?

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A subset of the population selected for analysis.