Samples, Populations, Bias & Inferences

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What is a sample in statistics?

Back

A sample is a part of a group being surveyed, selected from a larger population.

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What is a population in statistics?

Back

A population is the entire group of individuals or objects that a study is concerned with.

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What is a random sample?

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A random sample is a sample in which each individual or object in the entire population has an equal chance of being selected.

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What does bias mean in the context of surveys?

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Bias refers to a systematic error that leads to an incorrect representation of the population.

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Why is it important to have a representative sample?

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A representative sample accurately reflects the characteristics of the population, allowing for valid inferences.

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How can you determine if a study is biased?

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A study is biased if the sample is not representative of the population, such as only surveying people leaving a specific restaurant.

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What is the difference between a sample and a population?

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A sample is a subset of the population, while the population includes all individuals or objects of interest.

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What is an example of a biased sample?

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Asking only students in a specific classroom about their favorite subject, ignoring others.

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What is an example of an unbiased sample?

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Randomly selecting students from different grades and classes to determine their favorite subject.

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What is the purpose of using samples in research?

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Samples are used to make inferences about the population without surveying every individual.