Statistics · Sampling & confidence

Confidence Interval for a Variance Calculator

Estimate population variance and standard deviation using chi-square critical values.

Statistics · Sampling & confidence

Enter your statistical inputs

Private in-browser calculation · explicit assumptions

Enter plain numbers without measurement units. Datasets accept commas, spaces, semicolons, or line breaks and are limited to 10,000 values. Results stay in this browser.

Statistics result

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Quick guide

How to use this calculator

  1. Enter the observations, probabilities, model parameters, or summary statistics requested by the visible labels.
  2. Keep every value on the same scale and confirm that the selected sampling relationship, distribution, and tail convention match the question you are investigating.
  3. Read the result together with its assumptions and interpretation. Statistical output summarizes uncertainty under a model; it does not repair biased data or establish causation.

Calculation method

How the confidence interval for a variance calculator works

[(n−1)s²/χ²upper, (n−1)s²/χ²lower].

The square roots of the variance limits form the corresponding standard-deviation interval.

Worked example

Confidence Interval for a Variance example

A sample variance and sample size produce asymmetric variance limits because the chi-square distribution is skewed.

[(n−1)s²/χ²upper, (n−1)s²/χ²lower].

Supported inputs

Precision and limits

Model and design

The classical interval is highly sensitive to departures from an independent normal population.

Numerical scope

Inputs use double-precision numerical methods with guarded domains. Datasets accept up to 10,000 finite plain-decimal values. Extremely large parameters or probabilities deep in a numerical tail may require specialist statistical software.

Interpretation

The square roots of the variance limits form the corresponding standard-deviation interval.

Decision boundary

The calculator does not validate how data were collected, diagnose dependence or bias, choose a scientifically meaningful effect, or replace review by a qualified statistician for consequential research, medical, regulatory, safety, or policy decisions.

Privacy

Entered values and calculated results stay in this browser and are not sent to an analytics service.

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