Population, Sample, and Estimating

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What is a population in statistics?

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A population is the entire group of individuals or items 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 the population that is selected for the purpose of conducting a study.

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What is a random sample?

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A random sample is a sample in which every 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 sample that does not accurately represent the population, often due to the method of selection.

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What is convenience sampling?

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Convenience sampling is a method where the sample is taken from a group that is easily accessible.

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Why is it important to have an unbiased sample?

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An unbiased sample ensures that the results of a study can be generalized to the entire population.

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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 defined group, while a sample includes only a portion of that group.

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What is the purpose of estimating in statistics?

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Estimating is used to make inferences about a population based on sample data.

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What is stratified sampling?

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Stratified sampling is a method where the population is divided into subgroups, and samples are taken from each subgroup.

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What is systematic sampling?

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Systematic sampling is a method where you select every nth individual from a list of the population.