Types of Statistical Sampling

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What is Stratified Sampling?

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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 Convenience Sampling?

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A sampling method where the sample is taken from a group that is easily accessible, rather than randomly.

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CCSS.HSS.IC.B.3

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What is Systematic Sampling?

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A sampling method where a starting point is chosen at random, and then every nth member of the population is selected.

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CCSS.HSS.IC.B.3

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What is Cluster Sampling?

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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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CCSS.HSS.IC.B.3

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What is Volunteer Response Sampling?

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A sampling method where individuals volunteer to participate in a survey or study, often leading to biased results.

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CCSS.HSS.IC.B.3

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Define Simple Random Sampling.

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

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CCSS.HSS.IC.B.3

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What is the main disadvantage of Convenience Sampling?

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

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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How does Stratified Sampling improve accuracy?

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By ensuring that different subgroups of the population are represented in the sample.

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CCSS.HSS.IC.B.3

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What is the purpose of using Systematic Sampling?

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To create a sample that is easier to manage and analyze while maintaining randomness.

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CCSS.HSS.IC.B.3

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When is Cluster Sampling most useful?

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When the population is large and spread out, making it impractical to conduct a simple random sample.

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CCSS.HSS.IC.B.3