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 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 value is a Parameter or a Statistic?

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If the value is derived from the entire population, it is a parameter; if it is derived from a sample, it is a statistic.

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What is the difference between a Sample and a Population?

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A population includes all members of a defined group, while a sample includes only a portion of that group.

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Why is sampling important in statistics?

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Sampling allows researchers to make inferences about a population without needing to collect data from every member.

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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 a simple random sample?

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A simple random sample is a sample in which every member of the population has an equal chance of being selected.