Sampling and Population

Front

What is a population in statistics?

Back

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

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What is a sample in statistics?

Back

A sample is a subset of the population that is used to represent the whole group.

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What is a biased sample?

Back

A biased sample is one that does not accurately represent the population, often due to the method of selection.

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What is a random sample?

Back

A random sample is one where every member of the population has an equal chance of being selected.

Front

Why is it important to have a random sample?

Back

A random sample helps ensure that the results of a survey or study are valid and can be generalized to the population.

Front

What is an outlier?

Back

An outlier is a data point that differs significantly from other observations in a dataset.

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How can you identify a biased sample?

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A biased sample can often be identified if certain groups are overrepresented or underrepresented.

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

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What does it mean to survey a group?

Back

To survey a group means to collect data or opinions from members of that group.

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What is the purpose of sampling?

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The purpose of sampling is to gather information about a population without having to study every individual.