Sampling Methods

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What is Random Sampling?

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A sampling method where each member of a population has an equal chance of being selected. Example: Using a random number generator to select participants from a list.

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What is Voluntary Sampling?

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A sampling method where participants choose to be part of the sample. Example: Alumni responding to a survey about their salaries.

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What is Stratified Sampling?

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A sampling method that divides the population into subgroups (strata) and randomly samples from each. Example: Selecting 100 drivers from two age groups.

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What is Convenience Sampling?

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A sampling method that selects individuals who are easiest to reach. Example: Surveying people at a mall.

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What is Systematic Sampling?

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A sampling method that selects every nth member from a list. Example: Choosing every 10th name from a list of participants.

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What is Cluster Sampling?

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A sampling method that divides the population into clusters and randomly selects entire clusters. Example: Randomly selecting entire classrooms from a school.

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What is the purpose of 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 Sampling?

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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 Sampling?

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A subset of the population selected for observation and analysis.

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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 people in a specific area.