Sampling Methods

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What is Sampling?

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Sampling is the process of selecting a subset of individuals from a population to estimate characteristics of the whole population.

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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What is Random Sampling?

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Random sampling is a technique where each 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 Systematic Sampling?

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Systematic sampling involves selecting every nth individual from a list or sequence.

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CCSS.HSS.IC.B.3

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What is Stratified Sampling?

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Stratified sampling divides the population into subgroups (strata) and randomly samples from each stratum.

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CCSS.HSS.IC.B.3

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What is Cluster Sampling?

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Cluster sampling involves dividing the population into clusters and randomly selecting entire clusters for the sample.

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CCSS.HSS.IC.B.3

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Why is Random Sampling important?

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Random sampling reduces bias and ensures that the sample is representative of the population.

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CCSS.HSS.IC.B.3

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What is Convenience Sampling?

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Convenience sampling involves selecting individuals who are easiest to reach, which may lead to bias.

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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What is Voluntary Response Sampling?

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Voluntary response sampling involves individuals choosing to participate, often leading to self-selection bias.

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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Example of Random Sampling:

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A lottery system where every ticket has an equal chance of being drawn.

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CCSS.HSS.IC.B.3

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Example of Systematic Sampling:

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Selecting every 10th person from a list of registered voters.

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CCSS.HSS.IC.B.3