Samples and Populations

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What is a sample in statistics?

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

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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 random sampling?

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Random sampling is a technique where each member of a population has an equal chance of being selected.

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What is biased sampling?

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

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What is an unbiased sample?

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An unbiased sample accurately reflects the characteristics of the population from which it is drawn.

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What does it mean for a sample to be representative?

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A representative sample accurately reflects the demographics and characteristics of the larger population.

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What is systematic sampling?

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

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What is convenience sampling?

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Convenience sampling involves selecting individuals who are easiest to reach, which can lead to bias.

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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.

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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 measurements.