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Confidence Interval
Calculate confidence intervals
How It Works
A confidence interval is an estimated range of likely values for a population parameter. It is calculated from the sample statistics and provides an interval estimate rather than a single value.
In statistics, a confidence interval is an estimated range of likely values for a population parameter. For example, with a 95% confidence level, if the same population were sampled multiple times, approximately 95% of the calculated intervals would contain the true population parameter. The width of a confidence interval depends on the sample size, confidence level, and variability within the sample.
When the population standard deviation is known, the formula uses the z-score. When only the sample standard deviation is known and the sample is large (n ≥ 30), the z-score provides a good approximation.
Results
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Quick Tips
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