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 purpose of conducting a 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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Why is random sampling important?

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Random sampling helps to ensure that the sample is representative of the population, reducing bias in the results.

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What is a biased sample?

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A biased sample is one that does not accurately represent the population, leading to skewed results.

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What is convenience sampling?

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Convenience sampling is a non-random method where the sample is taken from a group that is easy to reach.

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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.

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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 the difference between qualitative and quantitative data?

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Qualitative data describes characteristics or qualities, while quantitative data involves numerical values that can be measured.

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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.