Sampling Design

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What is Sampling Design?

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Sampling design refers to the strategy or plan used to select a subset of individuals from a population to estimate characteristics of the whole population.

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CCSS.HSS.IC.B.3

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Define Stratified Sampling.

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Stratified sampling is a method where the population is divided into subgroups (strata) that share similar characteristics, and random samples are taken 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 (groups) and then randomly selecting entire clusters to be included in the sample.

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CCSS.HSS.IC.B.3

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Explain Systematic Sampling.

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Systematic sampling is a method where you select every nth individual from a list or sequence after a random starting point.

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CCSS.HSS.IC.B.3

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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.

Tags

CCSS.HSS.IC.B.3

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Define 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.

Tags

CCSS.HSS.IC.B.3

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What is the main advantage of Stratified Sampling?

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The main advantage of stratified sampling is that it ensures representation from all subgroups, leading to more accurate and reliable results.

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CCSS.HSS.IC.B.3

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When is Cluster Sampling most useful?

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Cluster sampling is most useful when the population is large and spread out, making it impractical to conduct a simple random sample.

Tags

CCSS.HSS.IC.B.3

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What is a potential drawback of Convenience Sampling?

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A potential drawback of convenience sampling is that it may lead to biased results, as it does not represent the entire population.

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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How does Systematic Sampling differ from Simple Random Sampling?

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Systematic sampling selects individuals based on a fixed interval, while simple random sampling selects individuals completely at random.

Tags

CCSS.HSS.IC.B.3