Sampling Methods Practice

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What is Systematic Random Sampling?

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A sampling method where every nth individual is selected from a list or queue, ensuring a systematic approach to sampling.

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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, often leading to biased results.

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CCSS.HSS.IC.B.3

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What is Simple Random Sampling?

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A sampling method where every individual has an equal chance of being selected, often achieved through random number generation.

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CCSS.HSS.IC.B.3

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What is Cluster Sampling?

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A sampling technique where the population is divided into clusters (groups), and entire clusters are randomly selected for the survey.

Tags

CCSS.HSS.IC.B.3

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What is Voluntary Response Sampling?

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A sampling method where individuals choose to participate in the survey, often leading to self-selection bias.

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CCSS.HSS.IC.B.3

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Define Stratified Random Sampling.

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A sampling method where the population is divided into subgroups (strata) and random samples are taken from each stratum.

Tags

CCSS.HSS.IC.B.3

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What is the main advantage of Simple Random Sampling?

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It minimizes bias and ensures that every individual has an equal chance of being included in the sample.

Tags

CCSS.HSS.IC.B.3

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Explain the concept of Sampling Bias.

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Sampling bias occurs when certain members of the population are systematically more likely to be selected than others, leading to unrepresentative samples.

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CCSS.HSS.IC.A.1

CCSS.7.SP.A.1

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What is the purpose of using a Random Number Table in sampling?

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To ensure that the selection of samples is random and unbiased, providing each individual an equal chance of selection.

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How does Cluster Sampling differ from Stratified Sampling?

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In cluster sampling, entire groups are selected, while in stratified sampling, individuals are selected from each subgroup.