Population & Sample

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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 study.

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Why is it important to define a population?

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Defining a population helps researchers understand who or what they are studying, ensuring that the results are relevant and applicable.

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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 representative sample?

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A representative sample accurately reflects the characteristics of the population from which it is drawn.

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What is sampling bias?

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Sampling bias occurs when certain members of a population are more likely to be selected for the sample than others, leading to unrepresentative results.

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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 for the sample.

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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 convenience sample?

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A convenience sample is a type of non-random sampling where the sample is taken from a group that is easy to access.

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What is the purpose of using a sample instead of a population?

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Using a sample is often more practical and cost-effective than studying an entire population.