AP Statistics - Identifying Sampling Techniques

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What is cluster sampling?

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A sampling technique where the population is divided into groups (clusters) and a whole cluster is randomly selected to represent the population.

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What is convenience sampling?

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A sampling method where subjects are selected because of their easy availability and proximity to the researcher.

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What is simple random sampling?

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A sampling technique where every member of the population has an equal chance of being selected.

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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 selecting samples from each stratum.

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What is systematic sampling?

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A sampling technique where you select every nth member from a list of the population.

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What does it mean for a sample to be representative of the population?

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It means the sample accurately reflects the characteristics of the larger population.

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True or False: All samples lead to a good prediction about an entire population.

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False.

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What is the main goal of using sampling techniques in statistics?

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To make inferences about a population based on a smaller subset of data.

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What is the difference between a sample and a population?

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A sample is a subset of individuals selected from a larger group (population) for study.

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What is a bias in sampling?

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