Population vs. 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?

Back

A sample is a subset of the population selected for analysis, used to make inferences about the population.

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What is the difference between a population and a sample?

Back

A population includes all members of a defined group, while a sample consists of a portion of that group.

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What is an example of a population?

Back

The annual salary of every pharmacist at a pharmacy.

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What is an example of a sample?

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300 undergraduate students from three universities who volunteered for a psychology research study.

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Why is it important to distinguish between population and sample?

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Distinguishing between population and sample helps in understanding the scope of research and the validity of conclusions drawn.

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What is a census?

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A census is a survey that attempts to collect data from every member of a population.

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What is sampling bias?

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Sampling bias occurs when the sample is not representative of the population, leading to inaccurate conclusions.

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What is a random sample?

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A random sample is a sample that is selected from the population in such a way that every individual has an equal chance of being chosen.

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What is a stratified sample?

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A stratified sample is a sample that is divided into subgroups (strata) and random samples are taken from each stratum.