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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
Hypothesis Test Calculator
Compute a z-score or t-statistic to determine whether your sample mean differs significantly from a hypothesized population mean. Use it for quality control checks, clinical trials, and any experiment where you need to accept or reject a null hypothesis.
Fill in the required fields to see your result.
Key differences
| Chi-Square Test Calculator | Hypothesis Test Calculator | |
|---|---|---|
| Category | Statistics | Statistics |
| Inputs required | 2 | 4 |
| Result | Chi-Square Value | Test Statistic |
| 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 a z-score or t-statistic to determine whether your sample mean differs significantly from a hypothesized population mean. Use it for quality control checks, clinical trials, and any experiment where you need to accept or reject a null hypothesis. |