Sampling Methods

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What is a sample in statistics?

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A sample is a smaller group selected from a larger population, used to make inferences about the population.

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What is the purpose of sampling methods?

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Sampling methods are used to select a subset of individuals from a population to estimate characteristics of the whole population.

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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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Define Systematic Random Sampling.

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Systematic Random Sampling involves selecting every nth individual from a list of the population.

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What is Stratified Sampling?

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

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What is Cluster Sampling?

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Cluster Sampling involves dividing the population into clusters and randomly selecting entire clusters to sample.

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What is Voluntary Response Sampling?

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Voluntary Response Sampling involves individuals choosing to participate in a survey or study, often leading to bias.

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What is Convenience Sampling?

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Convenience Sampling involves selecting individuals who are easiest to reach, which may not represent the population.

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What is Bias in sampling?

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Bias occurs when a sample is not representative of the population, leading to skewed results.

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What is the difference between a population and a sample?

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A population includes all members of a specified group, while a sample is a subset of that population.