Statistics

Confidence interval

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Intermediate4 min read
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What does it mean?

A confidence interval estimates a population parameter under stated assumptions. At a 95% confidence level, about 95% of intervals constructed by the same method over repeated samples would contain the true parameter in the long run.

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An everyday example

An estimated proportion of 51% with an approximate margin of error of ±3 percentage points gives an interval of 48%–54%. It does not establish that the population proportion exceeds 50%.

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A confidence interval covers every type of research error.

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Sources and further reading

Explore the foundations and methodological details in these resources. Examples on this page were created for illustration.