Identifying population & sample, parameter & statistic

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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 selected for analysis, used to make inferences about the population.

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What is a parameter in statistics?

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

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What is a statistic in statistics?

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A statistic is a numerical value that summarizes a characteristic of a sample.

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What is the difference between a parameter and a statistic?

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A parameter describes a population, while a statistic describes a sample.

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What is a representative sample?

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A representative sample accurately reflects the characteristics of the population from which it is drawn.

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Why is it important to use a random sample?

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A random sample helps to eliminate bias and ensures that every member of the population has an equal chance of being selected.

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What does it mean if a statistic is biased?

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A biased statistic systematically overestimates or underestimates the true parameter of the population.

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What is sampling error?

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Sampling error is the difference between the sample statistic and the actual population parameter due to the sample being taken.

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What is a census?

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A census is a survey that attempts to collect data from every member of the population.