Class Work #30 - Sampling Methods

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What is Simple Random Sampling (SRS)?

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A sampling method where every individual has an equal chance of being selected. For example, drawing names from a hat.

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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. For example, surveying students by gender.

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What is Systematic Sampling?

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A sampling method where you select every nth individual from a list. For example, surveying every 5th person entering a store.

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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. For example, surveying all students in randomly selected classrooms.

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What is Convenience Sampling?

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A sampling method where samples are taken from a group that is easy to reach. For example, surveying friends or classmates.

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What is the purpose of using sampling methods?

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To gather data from a subset of a population to make inferences about the whole population.

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What is a population in statistics?

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The entire group of individuals or instances about whom we hope to learn.

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What is a sample in statistics?

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A subset of the population selected for analysis.

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What is bias in sampling?

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A systematic error that leads to an unrepresentative sample, affecting the validity of results.

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What is the difference between qualitative and quantitative data?

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Qualitative data describes characteristics or qualities, while quantitative data involves numerical measurements.