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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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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What is a cluster sampling method?

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

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CCSS.HSS.IC.B.3

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What is systematic sampling?

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Systematic sampling involves selecting every nth individual from a list or sequence.

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CCSS.HSS.IC.B.3

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What is the definition of a sample in statistics?

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A sample is a subset of a population used to represent the entire group.

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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What is undercoverage in survey sampling?

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Undercoverage occurs when some members of the population are inadequately represented in the sample.

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CCSS.HSS.IC.B.3

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What is the importance of random selection in sampling?

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Random selection helps ensure that the sample is representative of the population, reducing bias.

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CCSS.HSS.IC.B.3

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What is a bias in the context of survey sampling?

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Bias refers to systematic errors that lead to incorrect conclusions about the population.

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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What is the difference between a sample and a population?

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

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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What is convenience sampling?

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Convenience sampling involves selecting individuals who are easiest to reach, which can lead to bias.

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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What is the role of sample size in statistical analysis?

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Larger sample sizes generally lead to more accurate estimates of population parameters and reduce sampling error.