Types of Statistical Sampling

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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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What is cluster sampling?

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

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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 selecting samples from each stratum.

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What is biased sampling?

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A sampling method that produces results that are not representative of the population, often due to the selection process.

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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, typically achieved through random number generation.

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Example of systematic sampling: Interview every 10th student who enters the school in the morning. What type of sampling is this?

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Systematic sampling.

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Example of cluster sampling: A research company surveys all households in a randomly selected block. What type of sampling is this?

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Cluster random sampling.

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Is the sample of night-shift ER staff asking about gym usage biased or unbiased?

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Biased.

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In stratified sampling, what is the purpose of dividing the population into strata?

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To ensure that different subgroups are adequately represented in the sample.

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What is the main advantage of using stratified sampling?

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It increases the precision of the sample by ensuring representation from all relevant subgroups.