Representative and Biased Samples

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What is a representative sample?

Back

A representative sample is a subset of a population that accurately reflects the members of the entire population.

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What is a biased sample?

Back

A biased sample is a subset of a population that does not accurately reflect the members of the entire population, leading to skewed results.

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Why is it important to use a representative sample?

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Using a representative sample ensures that the results of a study or survey can be generalized to the larger population.

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What method can be used to obtain a representative sample?

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Random sampling, where every member of the population has an equal chance of being selected, is a common method to obtain a representative sample.

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What is the difference between random sampling and convenience sampling?

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Random sampling selects individuals randomly from the population, while convenience sampling selects individuals who are easiest to reach, which may lead to bias.

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How can you tell if a sample is biased?

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A sample is biased if certain groups are overrepresented or underrepresented compared to the overall 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 to ensure representation.

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What is the impact of using a biased sample in research?

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Using a biased sample can lead to incorrect conclusions and misrepresentation of the population's characteristics.

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Give an example of a biased sample.

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Surveying only students from a single class to determine the favorite subject of all students is a biased sample.

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What is systematic sampling?

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