Sampling Design

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What is Sampling Design?

Back

Sampling design refers to the strategy or plan used to select a subset of individuals from a population to estimate characteristics of the whole population.

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Define Stratified Sampling.

Back

Stratified sampling is a method where the population is divided into subgroups (strata) that share similar characteristics, and random samples are taken from each stratum.

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What is Cluster Sampling?

Back

Cluster sampling involves dividing the population into clusters (groups) and then randomly selecting entire clusters to be included in the sample.

Front

Explain Systematic Sampling.

Back

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

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What is Simple Random Sampling?

Back

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

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Define Convenience Sampling.

Back

Convenience sampling is a non-probability sampling method where samples are taken from a group that is easily accessible.

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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, leading to more accurate and reliable results.

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When is Cluster Sampling most useful?

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Cluster sampling is most useful when the population is large and spread out, making it impractical to conduct a simple random sample.

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What is a potential drawback of Convenience Sampling?

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A potential drawback of convenience sampling is that it may lead to biased results, as it does not represent the entire population.

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How does Systematic Sampling differ from Simple Random Sampling?

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Systematic sampling selects individuals based on a fixed interval, while simple random sampling selects individuals completely at random.