Sampling Techniques

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What is Cluster Sampling?

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A sampling technique where the population is divided into groups (clusters) and a whole cluster is randomly selected to represent the population.

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What is Systematic Sampling?

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A sampling method where every nth individual is selected from a list or sequence.

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Define Population in the context of sampling.

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The entire group of individuals or instances about whom we hope to learn.

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Define Sample in the context of sampling.

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A subset of the population selected for observation and analysis.

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What is Simple Random Sampling?

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A sampling technique where every individual has an equal chance of being selected.

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What is Stratified Sampling?

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

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What is the purpose of using sampling techniques?

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To make inferences about a population without having to survey every individual.

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What is the difference between a sample and a population?

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A sample is a smaller group selected from the population, which is the entire group of interest.

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What is a Random Sample?

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A sample that is selected randomly, ensuring that every individual has an equal chance of being chosen.

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What is the importance of sample size in research?

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Larger sample sizes generally lead to more accurate and reliable results.