8.1 Sampling and Surveys

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What is systematic sampling?

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A sampling method where every nth individual is selected from a list or sequence.

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What is an unbiased sample?

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A sample that accurately represents the population without favoritism or prejudice.

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What is a biased sample?

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A sample that does not accurately represent the population, often due to a flawed selection process.

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What is simple random sampling?

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A sampling method where every individual has an equal chance of being selected.

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What is cluster sampling?

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A sampling method where the population is divided into clusters, and entire clusters are randomly selected.

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What is stratified sampling?

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A sampling method where the population is divided into subgroups (strata) and random samples are taken from each stratum.

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What is convenience sampling?

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A sampling method where samples are taken from a group that is easily accessible.

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Why is it important to have an unbiased sample?

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To ensure that the results of a survey or study are valid and can be generalized to the entire population.

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What is the difference between random sampling and systematic sampling?

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Random sampling selects individuals randomly, while systematic sampling selects individuals at regular intervals.

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What is the purpose of surveys in statistics?

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To gather data and insights about a population's preferences, behaviors, or characteristics.