Sampling Methods

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What is a Cluster Random Sample?

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A sampling method where the population is divided into clusters (usually geographically), and entire clusters are randomly selected to be included in the sample.

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CCSS.HSS.IC.B.3

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What is a Systematic Random Sample?

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A sampling method where every nth individual is selected from a list or queue, starting from a randomly chosen point.

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CCSS.HSS.IC.B.3

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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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CCSS.HSS.IC.B.3

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What is a Convenience Sample?

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A sampling method where individuals are selected based on their easy availability and proximity to the researcher.

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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What is a Voluntary Response Sample?

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A sampling method where individuals choose to participate in the survey or study, often leading to bias.

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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What is a Stratified Random Sample?

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A sampling method where the population is divided into subgroups (strata) and random samples are taken from each stratum.

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CCSS.HSS.IC.B.3

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What is the main disadvantage of a Convenience Sample?

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It may not represent the entire population, leading to biased results.

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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Why is a Voluntary Response Sample often biased?

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Because it attracts individuals with strong opinions, which may not reflect the views of the general population.

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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What is the purpose of using Stratified Sampling?

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To ensure that specific subgroups within a population are adequately represented in the sample.

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CCSS.HSS.IC.B.3

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What is the difference between Cluster Sampling and Stratified Sampling?

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In cluster sampling, entire groups are selected, while in stratified sampling, individuals are selected from each subgroup.

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1