AP Statistics Population vs Sample

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What is a Population in statistics?

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A population consists of all subjects (human or otherwise) that are being studied.

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What is a Sample in statistics?

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

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When is a data set considered a Population?

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A data set is considered a population when it includes every member of the group being studied.

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When is a data set considered a Sample?

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A data set is considered a sample when it includes only a portion of the population.

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Example of a Population:

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All students enrolled in a specific high school.

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Example of a Sample:

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A group of 30 students selected randomly from that high school.

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What is the purpose of using a Sample?

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To make inferences about the population without having to collect data from every member.

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What is a key characteristic of a good Sample?

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It should be representative of the population to ensure accurate results.

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What is Sampling Bias?

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Sampling bias occurs when the sample is not representative of the population, leading to skewed results.

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What is a Simple Random Sample?

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A simple random sample is one where every member of the population has an equal chance of being selected.