Data Sampling Types

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What is convenience sampling?

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A sampling method where the sample is taken from a group that is easily accessible, rather than randomly selected.

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What is cluster sampling?

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

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What is stratified sampling?

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A sampling method that involves dividing the population into subgroups (strata) and randomly sampling from each stratum.

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What is systematic sampling?

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A sampling method where you select every nth individual from a list or sequence.

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What is random sampling?

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

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Example of convenience sampling?

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A researcher surveys friends and family instead of a random group.

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Example of cluster sampling?

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A school surveys all students in randomly selected classes.

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Example of stratified sampling?

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A researcher surveys 50 students from each grade level in a school.

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Example of systematic sampling?

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A researcher selects every 10th name from a list of participants.

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Why is random sampling important?

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It helps to eliminate bias and ensures that the sample represents the population.