Statistics
Confidence Interval Calculator
Compute confidence intervals for a mean, a proportion, the difference between two means (Welch), or the difference between two proportions. Get the interval bounds, margin of error, critical value, standard error, and clear calculation steps.
Confidence Interval Estimator
Select a mode, enter your sample statistics, and calculate your CI instantly.
Tip: If you estimated the standard deviation from your sample (most cases), keep t interval selected. Use z interval only when σ is known from a stable process.
Wilson intervals are usually more reliable—especially for small n or when the proportion is near 0% or 100%.
This mode uses Welch’s method (no equal-variance assumption) and returns a confidence interval for (x̄₁ − x̄₂).
This mode returns a confidence interval for the difference in proportions (p̂₁ − p̂₂) using a standard normal approximation.
| Confidence | Critical z (two-tailed) | Typical use |
|---|---|---|
| 90% | 1.645 | Exploratory analysis |
| 95% | 1.960 | Default reporting |
| 99% | 2.576 | High assurance |