Population VS Sample

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What is a Population in statistics?

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A population is the entire group of individuals or items that we want to study or draw conclusions about.

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What is a Sample in statistics?

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A sample is a subset of the population selected for analysis, used to make inferences about 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 defined group, while a sample consists of a portion of that 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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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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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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What is an example of a Population?

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All the students in a school.

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What is an example of a Sample?

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

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What is the significance of using a Sample?

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Using a sample allows researchers to make inferences about a population without needing to study every individual.