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What is a random sample?

Back

A random sample is a subset of individuals chosen from a larger set, where each individual has an equal chance of being selected.

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Why is it important to have a random sample?

Back

A random sample helps ensure that the results of a survey or study are representative of the larger population, reducing bias.

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What does it mean if a sample is not random?

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A sample is not random if certain individuals have a higher or lower chance of being selected, which can lead to biased results.

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Example of a random sampling method.

Back

Drawing names from a hat to select participants for a study.

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Example of a non-random sampling method.

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Surveying only people who enter a specific store, which may not represent the entire population.

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What is the significance of sample size in surveys?

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A larger sample size generally leads to more reliable results, as it better represents the population.

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What is a population in statistics?

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A population is the entire group of individuals or instances about whom we hope to learn.

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What is a sample in statistics?

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A sample is a smaller group selected from a population, used to make inferences about the population.

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How can bias affect survey results?

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Bias can lead to inaccurate conclusions, as it skews the data towards a particular outcome.

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What is stratified sampling?

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Stratified sampling involves dividing the population into subgroups and randomly sampling from each subgroup.