Identifying population & sample, parameter & statistic

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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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What is a parameter in statistics?

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A parameter is a numerical value that summarizes a characteristic of a population.

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What is a statistic in statistics?

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A statistic is a numerical value that summarizes a characteristic of a sample.

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What is the difference between a parameter and a statistic?

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A parameter refers to a characteristic of a population, while a statistic refers to a characteristic of a sample.

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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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Why is it important to have a random sample?

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A random sample helps to eliminate bias and ensures that every member of the population has an equal chance of being selected.

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What is sampling bias?

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Sampling bias 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 conducting a survey?

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The purpose of conducting a survey is to gather information and insights from a sample to make inferences about the population.

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What does it mean to generalize results from a sample to a population?

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To generalize results means to apply findings from a sample to the larger population, assuming the sample is representative.