Populations & Samples

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What is a population in statistics?

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A population is the entire group of individuals or objects that we want to study or draw conclusions about.

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What is a sample in statistics?

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A sample is a subset of individuals or objects selected from a population, used to make inferences about the population.

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What is a random sample?

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

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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.

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What is sampling bias?

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Sampling bias occurs when certain members of a population are systematically more likely to be selected for the sample than others.

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What is the difference between a population and a sample?

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A population includes all members of a specified group, while a sample is a smaller group selected from that population.

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What is a convenience sample?

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

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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 strata.

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What is the purpose of conducting surveys in research?

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Surveys are conducted to gather information and opinions from a sample of individuals to make inferences about a larger population.

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What does it mean for a sample to be biased?

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A biased sample does not accurately represent the population, leading to skewed results and conclusions.