Sampling Techniques

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What is a biased sample?

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A biased sample is a sample that does not accurately represent the population from which it is drawn, often due to systematic favoring of certain outcomes.

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What is convenience sampling?

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Convenience sampling is a non-random sampling technique where participants are selected based on their easy availability and proximity to the researcher.

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What is a census in statistics?

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A census is a survey that attempts to include the entire population, ensuring that every individual is accounted for.

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What is random sampling?

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Random sampling is a technique where every member of the population has an equal chance of being selected, minimizing bias.

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What is non-random sampling?

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Non-random sampling is a sampling technique where not all members of the population have a chance of being selected, which can introduce bias.

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What is stratified sampling?

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Stratified sampling is a method where the population is divided into subgroups (strata) and random samples are taken from each stratum.

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What is systematic sampling?

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Systematic sampling is a method where samples are selected at regular intervals from a randomly ordered list.

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What is voluntary response sampling?

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Voluntary response sampling is a non-random sampling method where participants self-select to be part of the survey, often leading to bias.

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What is the main difference between random and non-random sampling?

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The main difference is that random sampling gives every member of the population an equal chance of being selected, while non-random sampling does not.

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What is cluster sampling?

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Cluster sampling is a technique where the population is divided into clusters, and entire clusters are randomly selected for the sample.