Representative & Random Sampling

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What is representative sampling?

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Representative sampling is a technique used to select a sample that accurately reflects the characteristics of the larger population.

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What is random sampling?

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Random sampling is a method of selecting a sample from a population in such a way that every individual has an equal chance of being chosen.

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Why is it important to have a random sample?

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A random sample helps to eliminate bias and ensures that the sample is representative of the population, leading to more reliable results.

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What is a simple random sample?

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A simple random sample is a subset of a population where each member has an equal probability of being selected.

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What is a systematic sample?

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A systematic sample is obtained by selecting every nth individual from a list or sequence.

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What is a convenience sample?

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A convenience sample is a non-random sample that is taken from a group that is easy to reach.

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What is the difference between a sample and a population?

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A population includes all members of a specified group, while a sample is a subset of the population used for analysis.

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What is sampling bias?

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Sampling bias occurs when certain members of the population are more likely to be selected than others, leading to an unrepresentative sample.

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How can you ensure a sample is representative?

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To ensure a sample is representative, use random sampling methods and ensure the sample size is adequate.

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What is stratified sampling?

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Stratified sampling involves dividing the population into subgroups (strata) and taking a random sample from each strata.