Population and Sample

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What is a population in statistics?

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A population is the entire group of individuals or instances about whom we hope to learn.

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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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How do you identify a population in a study?

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The population can be identified as the complete set of subjects or items that are of interest in a study.

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How do you identify a sample in a study?

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The sample is identified as the specific group selected from the population for the purpose of the study.

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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 includes only a portion of that group.

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What is an example of a population?

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All students enrolled in a specific high school.

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What is an example of a sample?

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A group of 30 students selected from the high school to participate in a survey.

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Why is sampling important in research?

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Sampling is important because it allows researchers to make inferences about a population without needing to study every individual.

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What is a representative sample?

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A representative sample accurately reflects the characteristics of the population from which it is drawn.

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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.