Sample, Population, Sampling Methods

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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 a sample in statistics?

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

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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 consists of a portion of that group.

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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 random samples are taken from each stratum.

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What is cluster sampling?

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Cluster sampling involves dividing the population into clusters (usually geographically) and then randomly selecting entire clusters.

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What is simple random sampling?

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Simple random sampling is a method where every member of the population has an equal chance of being selected.

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What is convenience sampling?

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Convenience sampling is a non-probability sampling method where samples are taken from a group that is easily accessible.

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Why is it important to have a representative sample?

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A representative sample ensures that the results of a study can be generalized to the larger population.

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What is bias in sampling?

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Bias in sampling occurs when certain members of the population are more likely to be selected than others, leading to skewed results.

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What is the purpose of conducting surveys?

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Surveys are conducted to gather information, opinions, or feedback from a specific group of people.