Sampling Method

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What is a Simple Random Sample (SRS)?

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

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What is a Stratified Sample (STR)?

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A sampling method that divides the population into subgroups (strata) and randomly samples from each stratum. Example: Surveying students from different grades.

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What is a Cluster Sample (CLS)?

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A sampling method where the population is divided into clusters, and entire clusters are randomly selected. Example: Selecting entire classrooms from a school.

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What is a Systematic Sample (SYS)?

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A sampling method where you select every nth individual from a list. Example: Choosing every 10th name from a roster.

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What is a Convenience Sample (CON)?

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

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When is a Simple Random Sample (SRS) most appropriate to use?

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When the population is homogeneous and you want to ensure every individual has an equal chance of selection.

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What are the advantages of using a Stratified Sample (STR)?

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It ensures representation from all subgroups, which can lead to more accurate results.

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What is a disadvantage of using a Cluster Sample (CLS)?

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It may lead to less accurate results if the clusters are not representative of the population.

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How does a Systematic Sample (SYS) differ from a Simple Random Sample (SRS)?

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SYS uses a fixed interval for selection, while SRS selects individuals randomly without a fixed pattern.

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What is a potential bias in Convenience Sampling (CON)?

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It may not represent the entire population, leading to skewed results.