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. For example, interviewing every 10th student who enters a school.

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What is a cluster sampling method?

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Cluster sampling involves dividing the population into groups (clusters) and then randomly selecting entire clusters to include in the sample. For example, randomly picking one class to survey.

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What is a stratified sampling method?

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Stratified sampling involves dividing the population into subgroups (strata) and then randomly selecting individuals from each stratum. For example, picking 3 students from each class period.

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What is a simple random sampling method?

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Simple random sampling means that every individual in the population has an equal chance of being selected. For example, assigning numbers to cars and using a random-number table to select them.

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What is a convenience sampling method?

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Convenience sampling involves selecting individuals who are easiest to reach or sample, rather than using a random method.

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What is the difference between cluster and stratified sampling?

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Cluster sampling selects entire groups randomly, while stratified sampling selects individuals from each subgroup.

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What is a voluntary response sampling method?

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

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Why is random sampling important?

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Random sampling is important because it helps ensure that the sample is representative of the population, reducing bias.

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What is sampling bias?

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Sampling bias occurs when certain individuals or groups are systematically excluded from the sample, leading to unrepresentative results.

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What is the purpose of using sampling methods?

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