Sampling Methods

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What is Sampling?

Back

Sampling is the process of selecting a subset of individuals from a population to estimate characteristics of the whole population.

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Define Simple Random Sampling.

Back

Simple Random Sampling is a sampling method where every individual has an equal chance of being selected, ensuring that the sample is representative of the population.

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What is Voluntary Response Sampling?

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Voluntary Response Sampling is a sampling method where individuals choose to participate, often leading to biased results as it attracts those with strong opinions.

Front

Explain Systematic Random Sampling.

Back

Systematic Random Sampling involves selecting every nth individual from a list or sequence, ensuring a spread across the population.

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What is Stratified Random Sampling?

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Stratified Random Sampling divides the population into subgroups (strata) and randomly samples from each stratum to ensure representation.

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Define Cluster Sampling.

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Cluster Sampling involves dividing the population into clusters (often geographically) and randomly selecting entire clusters for study.

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What is the difference between Sampling and Census?

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Sampling involves studying a subset of a population, while a Census involves collecting data from every individual in the population.

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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?

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

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What is Non-Probability Sampling?

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Non-Probability Sampling is a sampling technique where not all individuals have a chance of being selected, often leading to biased results.