Sampling Methods

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What is a Population in statistics?

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A population is a large group that includes everything being studied.

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What is a Random Sample?

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A random sample is when every individual or object in the entire population has an equal chance of being selected.

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What is a Cluster Random Sample?

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A cluster random sample involves dividing the population into groups (clusters) and randomly selecting entire clusters to survey.

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What is Voluntary Response Sampling?

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Voluntary response sampling occurs when individuals choose to participate in a survey, often leading to biased results.

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What is a Simple Random Sample?

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A simple random sample is a sampling method where every individual has an equal chance of being selected, and selections are made randomly.

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What is Stratified Sampling?

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Stratified sampling involves dividing the population into subgroups (strata) and randomly sampling from each stratum.

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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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What is Bias in sampling?

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Bias in sampling refers to systematic errors that lead to an unrepresentative sample, affecting the validity of results.

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What is the difference between a Sample and a Population?

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A sample is a subset of a population used to represent the whole, while a population includes all individuals or items being studied.

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What is the purpose of sampling in research?

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The purpose of sampling is to gather data from a subset of a population to make inferences about the entire population.