Sampling Methods

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What is a systematic sampling method?

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A sampling method where every nth individual is selected from a list or queue, such as interviewing every 10th student.

Tags

CCSS.HSS.IC.B.3

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Define cluster sampling.

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A sampling method where the population is divided into groups (clusters) and a whole cluster is randomly selected for the survey.

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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, ensuring that every possible group of the required size has the same chance of selection.

Tags

CCSS.HSS.IC.B.3

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Explain stratified sampling.

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A sampling method that involves dividing the population into subgroups (strata) and then taking a fixed number of samples from each subgroup using simple random sampling.

Tags

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.

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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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 biased results.

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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How does systematic sampling differ from simple random sampling?

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Systematic sampling selects individuals at regular intervals, while simple random sampling gives every individual an equal chance of selection without a fixed interval.

Tags

CCSS.HSS.IC.B.3

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What is the main advantage of stratified sampling?

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It ensures that all subgroups of the population are represented in the sample, leading to more accurate and reliable results.

Tags

CCSS.HSS.IC.B.3

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Provide an example of cluster sampling.

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A teacher randomly selects one class from a school to survey the entire class's performance.

Tags

CCSS.HSS.IC.B.3

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What is the disadvantage of convenience sampling?

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It may not accurately represent the population, leading to biased results.

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1