AP Stats Sampling/Bias

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What is the definition of sampling in statistics?

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Sampling is the process of selecting a subset of individuals from a population to estimate characteristics of the whole population.

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What is a Simple Random Sample (SRS)?

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A Simple Random Sample is a sampling method where every individual has an equal chance of being selected.

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What is a Cluster Sample?

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A Cluster Sample involves dividing the population into groups (clusters) and randomly selecting entire clusters to sample.

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What is a Stratified Sample?

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A Stratified Sample involves dividing the population into subgroups (strata) and randomly sampling from each stratum.

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What is a Convenience Sample?

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A Convenience Sample is a non-random sampling method where individuals are selected based on their easy availability.

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What is a Census?

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A Census is a survey that attempts to collect data from every member of the population.

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What is the difference between a population and a sample?

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A population includes all members of a specified group, while a sample is a subset of the population.

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What is bias in sampling?

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Bias in sampling occurs when certain members of the population are systematically more likely to be selected than others.

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What is the purpose of random sampling?

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The purpose of random sampling is to obtain a representative sample that can be generalized to the population.

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What is systematic sampling?

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Systematic sampling involves selecting every nth individual from a list of the population.