Population vs Sample / Sampling Methods

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What is a Population in statistics?

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The entire group of objects or individuals considered for a survey.

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What is a Sample in statistics?

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A part of a group being surveyed.

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What is the difference between Population and Sample?

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Population refers to the entire group, while a sample is a subset of that group.

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What is a Simple Random Sample?

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A sampling method where every individual and every subset of the sample size has an equal chance of being selected.

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What is a Stratified Random Sample?

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A sampling method that divides the population into subgroups (strata) and randomly samples from each stratum.

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What is a Cluster Random Sample?

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A sampling method where the population is divided into clusters, and entire clusters are randomly selected.

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What is a Multi-Stage Random Sample?

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A sampling method that involves selecting groups (clusters) and then randomly sampling within those groups.

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What is the purpose of Sampling Methods?

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To obtain a representative subset of a population for analysis.

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Why is it important to distinguish between Population and Sample?

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To ensure accurate data analysis and conclusions can be drawn from the sample to the population.

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What is a Convenience Sample?

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A non-random sampling method where individuals are selected based on ease of access.