Random Sampling

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What is random sampling?

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Random sampling is a technique used to select a subset of individuals from a larger population, where each individual has an equal chance of being chosen.

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What is a population in statistics?

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

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What is a sample?

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A sample is a subset of a population that is used to represent the entire group.

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Why is it important to have a representative sample?

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A representative sample accurately reflects the characteristics of the population, allowing for valid conclusions to be drawn.

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What does it mean if a sample is biased?

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A biased sample is one that does not accurately represent the population, leading to skewed or invalid results.

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What is the difference between a census and a sample?

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A census involves collecting data from every member of a population, while a sample involves collecting data from a subset.

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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 method where samples are taken from a group that is easily accessible.

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What is the purpose of conducting surveys?

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Surveys are conducted to gather information and opinions from a group of people to understand trends or preferences.

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What is sampling error?

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Sampling error is the difference between the results obtained from a sample and the actual values in the population.