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Both calculators run independently — change the inputs on either side to compare results.
Statistics
Chi-Square Test Calculator
Compute the chi-square test statistic contribution for one observed-vs-expected category pair using χ² = (observed − expected)² / expected. Sum these contributions across all categories to get the total χ² statistic for goodness-of-fit or independence tests.
Fill in the required fields to see your result.
Statistics
Confidence Interval Calculator
Compute the margin of error around a sample mean for a 90%, 95%, or 99% confidence interval using the z-distribution. The half-width of the CI tells you how precisely your sample estimates the population mean — essential for survey reporting, scientific publication, and any inference.
Fill in the required fields to see your result.
Key differences
| Chi-Square Test Calculator | Confidence Interval Calculator | |
|---|---|---|
| Category | Statistics | Statistics |
| Inputs required | 2 | 3 |
| Result | Chi-Square Value | Margin of Error (±) |
| What it does | Compute the chi-square test statistic contribution for one observed-vs-expected category pair using χ² = (observed − expected)² / expected. Sum these contributions across all categories to get the total χ² statistic for goodness-of-fit or independence tests. | Compute the margin of error around a sample mean for a 90%, 95%, or 99% confidence interval using the z-distribution. The half-width of the CI tells you how precisely your sample estimates the population mean — essential for survey reporting, scientific publication, and any inference. |