Sampling & Bias

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What is sampling?

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

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What is a biased sample?

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A biased sample is one that does not accurately represent the population from which it is drawn, often due to the method of selection.

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What is a random sample?

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A random sample is a sample in which every individual or object in the population has an equal chance of being selected.

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Why is random sampling important?

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Random sampling is important because it helps ensure that the sample is representative of the population, reducing bias in the results.

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What is the difference between a sample and a population?

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A population is the entire group of individuals or objects of interest, while a sample is a subset of that population.

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What is selection bias?

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Selection bias occurs when the method of selecting individuals for a sample results in a non-representative sample.

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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 convenience sampling?

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Convenience sampling is a non-random sampling method where individuals are selected based on their easy availability.

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What is a survey?

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A survey is a method of collecting data by asking people questions to gather information about their opinions, behaviors, or characteristics.

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What is a population parameter?

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A population parameter is a numerical value that summarizes a characteristic of the entire population.