Population VS Sample

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What is a Population in statistics?

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A Population refers to 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 a Parameter?

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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?

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

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How do you determine if a data set is a Population or a Sample?

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If the data set includes every member of the group being studied, it is a Population. If it includes only a portion, it is a Sample.

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Example of a Population:

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All teachers at Meadow Creek High School.

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Example of a Sample:

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A selection of 30 teachers from Meadow Creek High School.

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What is the difference between a Parameter and a Statistic?

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A Parameter describes a population, while a Statistic describes a sample.

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Why is it important to distinguish between Population and Sample?

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Distinguishing between Population and Sample is crucial for accurate data analysis and interpretation.

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What is an example of a Parameter?

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The average age of all students in a school.