Sampling Methods

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What is a Simple Random Sample?

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A sampling method where every individual has an equal chance of being selected. Example: Drawing names from a hat.

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What is a Cluster Sample?

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A sampling method where the population is divided into groups (clusters), and entire clusters are randomly selected. Example: Randomly selecting one class from a school.

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What is a Stratified Sample?

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A sampling method where the population is divided into subgroups (strata) and random samples are taken from each stratum. Example: Picking 3 students from each class period.

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What is Systematic Random Sampling?

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A sampling method where every nth individual is selected from a list. Example: Surveying every 25th guest leaving a restaurant.

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What is the difference between Cluster Sampling and Stratified Sampling?

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Cluster sampling selects entire groups, while stratified sampling selects individuals from each subgroup.

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What is a Voluntary Response Sample?

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A sampling method where individuals choose to participate. Example: Online surveys where participants opt-in.

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What is Bias in Sampling?

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A systematic error that leads to an unrepresentative sample. Example: Only surveying students who are present in class.

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What is the purpose of Sampling?

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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.