Populations and Samples

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What is a random sample?

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A random sample is a subset of individuals chosen from a larger set (population) in such a way that every individual has an equal chance of being selected.

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CCSS.HSS.IC.B.3

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Define population in the context of statistics.

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In statistics, a population refers to the entire group of individuals or instances about whom we hope to learn.

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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What is a sample in statistics?

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A sample is a subset of a population that is used to represent the entire group.

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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What is the purpose of random sampling?

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The purpose of random sampling is to reduce bias in the selection process, ensuring that the sample accurately reflects the population.

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CCSS.HSS.IC.B.3

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What is systematic sampling?

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Systematic sampling is a method of selecting a sample from a population by choosing every nth individual from a list or queue.

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CCSS.HSS.IC.B.3

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What is the difference between a sample and a population?

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A sample is a smaller group selected from a population, which is the entire group of interest.

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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Why is it important to define the population before sampling?

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Defining the population is crucial to ensure that the sample accurately represents the group being studied and to avoid bias.

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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What is bias in sampling?

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Bias in sampling occurs when certain individuals or groups are systematically favored over others in the selection process.

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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What is 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.7.SP.A.1

CCSS.HSS.IC.A.1

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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