Sampling Methods

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What is a Simple Random Sample (SRS)?

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A sampling method where every individual has an equal chance of being selected, typically achieved through random selection.

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CCSS.HSS.IC.B.3

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Describe the Systematic Random Sample method.

Back

A sampling method where a random starting point is selected, and then every nth individual is chosen from a list.

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CCSS.HSS.IC.B.3

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What is a Stratified Random Sample?

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A sampling method that involves dividing the population into subgroups (strata) and randomly sampling from each stratum.

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CCSS.HSS.IC.B.3

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Explain the Cluster Random Sample method.

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A sampling method where the population is divided into clusters, and entire clusters are randomly selected for the sample.

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CCSS.HSS.IC.B.3

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What is the purpose of using sampling methods in research?

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To obtain a representative subset of a population to make inferences about the whole population without surveying everyone.

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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What is the difference between probability and non-probability sampling methods?

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Probability sampling methods give each member of the population a known chance of being selected, while non-probability methods do not.

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CCSS.HSS.IC.B.3

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What is convenience sampling?

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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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Define quota sampling.

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A non-probability sampling method where the researcher ensures equal representation of various subgroups by setting quotas.

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CCSS.HSS.IC.B.3

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What is the importance of sample size in research?

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Larger sample sizes generally lead to more reliable and valid results, reducing sampling error.

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

Front

What is sampling error?

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The difference between the sample statistic and the actual population parameter, which can occur due to the sample not being representative.

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1