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.HSS.IC.A.1

CCSS.7.SP.A.1

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Define Systematic Sampling.

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Systematic Sampling is a method where you select every nth individual from a list of the population after a random starting point.

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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 groups (clusters) and randomly selecting entire clusters to survey.

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CCSS.HSS.IC.B.3

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Explain 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.

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CCSS.HSS.IC.B.3

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What is Stratified Sampling?

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Stratified Sampling is a 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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Define Simple Random Sampling.

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Simple Random Sampling is a method where every individual has an equal chance of being selected from the population.

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CCSS.HSS.IC.B.3

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What is the purpose of Sampling Methods?

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Sampling Methods are used to gather data and make inferences about a population without surveying every individual.

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CCSS.HSS.IC.B.3

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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.

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CCSS.HSS.IC.A.1

CCSS.7.SP.A.1

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What is a Sample?

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A Sample is a subset of the population selected for the purpose of conducting a study.

Tags

CCSS.HSS.IC.A.1

CCSS.7.SP.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.

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CCSS.HSS.IC.B.3