Random vs Biased Samples & Questions

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What is a random sample?

Back

A random sample is a subset of individuals chosen from a larger population, where each individual has an equal chance of being selected.

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What is a biased sample?

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A biased sample is a subset of individuals that does not accurately represent the larger population, often due to non-random selection.

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Why is convenience sampling considered biased?

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Convenience sampling is biased because it relies on easily accessible individuals rather than a random selection, which can lead to unrepresentative results.

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What does it mean for a sample to accurately represent a population?

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It means that the characteristics of the sample reflect those of the entire population, allowing for valid conclusions.

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What is the importance of random sampling in surveys?

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Random sampling is important because it minimizes bias and ensures that the sample is representative of the population, leading to more reliable results.

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What is the population in a study?

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

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What is a survey?

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A survey is a method of collecting data by asking questions to a group of people.

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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 a population, while the population is the whole group being studied.

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What is voluntary response sampling?

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Voluntary response sampling is a method where individuals choose to participate, which can lead to bias as it may attract only those with strong opinions.

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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.