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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Define Simple Random Sampling.

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Simple Random Sampling is a sampling method where every individual has an equal chance of being selected, ensuring that the sample is representative of the population.

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CCSS.HSS.IC.B.3

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What is Voluntary Response Sampling?

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Voluntary Response Sampling is a sampling method where individuals choose to participate, often leading to biased results as it attracts those with strong opinions.

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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Explain Systematic Random Sampling.

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Systematic Random Sampling involves selecting every nth individual from a list or sequence, ensuring a spread across the population.

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CCSS.HSS.IC.B.3

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What is Stratified Random Sampling?

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Stratified Random Sampling divides the population into subgroups (strata) and randomly samples from each stratum to ensure representation.

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CCSS.HSS.IC.B.3

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Define Cluster Sampling.

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Cluster Sampling involves dividing the population into clusters (often geographically) and randomly selecting entire clusters for study.

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CCSS.HSS.IC.B.3

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What is the difference between Sampling and Census?

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Sampling involves studying a subset of a population, while a Census involves collecting data from every individual in the population.

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What is a Population in statistics?

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A Population is the entire group of individuals or instances about whom we hope to learn.

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

Front

What is a Sample?

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A Sample is a subset of the population selected for analysis, used to make inferences about the population.

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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What is Non-Probability Sampling?

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Non-Probability Sampling is a sampling technique where not all individuals have a chance of being selected, often leading to biased results.