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 draw conclusions 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 actual study.

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What is random sampling?

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Random sampling is a method of selecting a sample in such a way that every individual has an equal chance of being chosen.

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What is convenience sampling?

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Convenience sampling is a method where the sample is taken from a group that is easily accessible.

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What is biased sampling?

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Biased sampling occurs when certain members of the population are more likely to be selected than others, leading to an unrepresentative sample.

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Why is random sampling important?

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Random sampling is important because it helps ensure that the sample is representative of the population, 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 specified group, while a sample includes only a portion of that group.

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What is a survey?

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A survey is a method of collecting data by asking people questions to gather information about their opinions or behaviors.

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What is a sampling frame?

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A sampling frame is a list or database from which a sample is drawn.

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What is stratified sampling?

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Stratified sampling is a method where the population is divided into subgroups (strata) and samples are taken from each stratum.