7.SP.1 - Population vs. Sample & Biased vs. Unbiased

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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 gather information about.

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What is a sample in statistics?

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A sample is a subset of individuals or items selected from a population, used to represent the population in a study.

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What does it mean for a sample to be unbiased?

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An unbiased sample accurately represents the population, meaning every individual has an equal chance of being selected.

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What does it mean for a sample to be biased?

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A biased sample does not accurately represent the population, leading to skewed or misleading results.

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Why is random sampling important?

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Random sampling ensures that every member of the population has an equal chance of being included, reducing bias.

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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 group, while a sample includes only a portion of that group.

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What is an example of a biased sample?

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Surveying only the students in a gifted program to determine the average academic performance of all students.

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What is an example of an unbiased sample?

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Surveying 50 randomly selected students from all grades in a school to determine overall student preferences.

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What is a census?

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A census is a complete count of a population, collecting data from every member.

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What is a survey?

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A survey is a method of collecting data from a sample to infer information about the population.