Populations and Samples

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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 the population that is selected for the purpose of conducting a survey or study.

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What is biased sampling?

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Biased sampling occurs when the sample is not representative of the population, leading to skewed results.

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What is unbiased sampling?

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Unbiased sampling occurs when every member of the population has an equal chance of being selected, resulting in a representative sample.

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What is random sampling?

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Random sampling is a technique where each member of the population has an equal chance of being selected, ensuring that the sample is representative.

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What is convenience sampling?

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Convenience sampling is a non-random method where samples are taken from a group that is easily accessible, which may lead to bias.

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What is stratified sampling?

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Stratified sampling involves dividing the population into subgroups (strata) and taking a sample from each stratum to ensure representation.

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What is systematic sampling?

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Systematic sampling involves selecting every nth member of the population after a random starting point.

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What is the difference between a sample and a population?

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A sample is a smaller group selected from a population, while a population includes all members of the group being studied.

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What is a survey?

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A survey is a method of collecting data by asking questions to a sample of individuals.