Sampling and Bias

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What is Sampling?

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Sampling is the process of selecting a subset of individuals from a population to estimate characteristics of the whole population.

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What is Bias in Sampling?

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Bias in sampling refers to systematic errors that lead to an inaccurate representation of the population.

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Define 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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Define Cluster Sampling.

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

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Define 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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Define 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 Non-response Bias?

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Non-response Bias occurs when individuals selected for the sample do not respond, leading to a potential misrepresentation.

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What is Response Bias?

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Response Bias occurs when respondents provide inaccurate answers due to misunderstanding or misrepresentation.

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What is Voluntary Response Bias?

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Voluntary Response Bias occurs when individuals choose to participate in a survey, often leading to overrepresentation of strong opinions.

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What is Undercoverage Bias?

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Undercoverage Bias occurs when some members of the population are inadequately represented in the sample.