Statistical Studies and Sampling Methods

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What is a systematic sampling method?

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A systematic sampling method involves selecting every nth individual from a list or sequence, ensuring a uniform distribution of samples.

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Define simple random sampling.

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Simple random sampling is a method where every individual in the population has an equal chance of being selected.

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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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Explain stratified random sampling.

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Stratified random sampling involves dividing the population into subgroups (strata) and randomly sampling from each stratum.

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What is a sample in statistics?

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A sample is a subset of individuals selected from a larger population used to estimate characteristics of the whole population.

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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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What is voluntary response sampling?

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Voluntary response sampling involves individuals choosing to participate in a survey, often leading to biased results.

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What is the difference between a sample and a population?

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A sample is a part of the population used for analysis, while the population includes all individuals of interest.

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What is systematic random sampling?

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Systematic random sampling is a method where you select every kth individual from a list after a random starting point.

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What is the purpose of using sampling methods?

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