Sampling Methods

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What is a sampling method?

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A sampling method is a technique used to select individuals or items from a larger population to gather data or make inferences about that population.

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Define Cluster Sampling.

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Cluster sampling is a sampling method where the population is divided into groups (clusters), and entire clusters are randomly selected to be included in the sample.

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What is Simple Random Sampling (SRS)?

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Simple Random Sampling (SRS) is a sampling method where every individual in the population has an equal chance of being selected.

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Explain Stratified Sampling.

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Stratified sampling involves dividing the population into subgroups (strata) based on shared characteristics and then randomly sampling from each stratum.

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What is Systematic Sampling?

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Systematic sampling is a method where you select every nth individual from a list of the population.

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Define Voluntary Response Sampling.

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Voluntary response sampling is a method where individuals choose to participate in a survey or study, often leading to biased results.

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What is the main advantage of Stratified Sampling?

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The main advantage of stratified sampling is that it ensures representation from all subgroups within the population, leading to more accurate results.

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What is a disadvantage of Cluster Sampling?

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A disadvantage of cluster sampling is that it may lead to less accurate results if the clusters are not homogeneous.

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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 selects individuals completely at random.

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What is the purpose of using sampling methods?

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Sampling methods are used to gather data efficiently and cost-effectively without surveying the entire population.