Sampling Methods in Statistics

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What is a Population in statistics?

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A population is a large group that includes everything being studied.

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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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What is Convenience Sampling?

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Convenience sampling involves selecting individuals who are easiest to reach or sample.

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What is Voluntary Response Sampling?

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Voluntary response sampling occurs when individuals choose to participate in a survey or study.

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What is Simple Random Sampling?

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

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What is 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 the purpose of Sampling in statistics?

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Sampling is used to gather data from a subset of a population to make inferences about the entire population.

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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.

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What is Systematic Sampling?

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Systematic sampling involves selecting every nth individual from a list or sequence.

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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 being studied.