This calculator will compute the confidence interval for a standard deviation based on a sample. You can either upload a dataset or manually input the sample size and standard deviation.
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What is a Confidence Interval for Standard Deviation?
A confidence interval for the standard deviation provides a range of plausible values for the population standard deviation based on a sample. It gives both an estimate of the standard deviation and a measure of the uncertainty associated with that estimate.
Formulas
Exact Confidence Interval
The confidence interval for the population standard deviation σ is given by:
Standard Error Approximation
For large samples, the standard error of the sample standard deviation is:
This can be used to construct approximate confidence intervals:
Where:
- is the sample size
- is the sample standard deviation
- is the p-th percentile of the chi-square distribution with n-1 degrees of freedom
- is the significance level (e.g., 0.05 for a 95% confidence interval)
- is the critical value from the standard normal distribution
Note: The standard error approximation is simpler but less accurate for small samples. Use the exact confidence interval when possible, especially for n < 30.
Interpretation
A 95% confidence interval for the standard deviation means that if we were to repeat the sampling process many times and calculate the confidence interval each time, about 95% of these intervals would contain the true population standard deviation.