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Math & AlgebraGenerated accuracy model review: 2026-05-06
P-Value Calculator accuracy and testing
This page documents how Calwarden builds trust for this calculator: source notes, regression-style default tests, limitations, assumptions, unit handling, rounding, and visible change history.
Formula source
- The P-value is the area under the standard normal distribution curve beyond the given Z-score. * **One-Tailed:** Uses the tail implied by the sign of the Z-score. Positive Z uses the right tail, while negative Z uses the left tail. * **Two-Tailed:** Calculates area in both directions (extreme positive OR extreme negative), typically doubling the smaller one-tailed area.
Test cases
Default input regression check
Generated from the checked-in default inputs and calculate function.
Inputs
- Z-Score: 1.96
- Test Type: Two-Tailed (≠)
Expected outputs
- P-Value: 0.05
- Significance (α=0.05): Significant
Known limitations
- This page documents the checked-in calculator logic and does not certify results for every real-world edge case.
- Use the result as a planning estimate unless the calculator page states a stricter purpose.
Assumptions
- This calculator expects a z-score from a z-test or normal-approximation workflow.
- Choose one-tailed only when your hypothesis was directional before you saw the data.
- The p-value is evidence against the null hypothesis, not the probability that the null or alternative is true.
Unit handling
- Z-Score accepts numeric values.
- Test Type accepts one of the configured options.
Rounding rules
- Number displays use up to 2 decimal places in the calculator UI.
Version history
1.0.0 - 2026-05-06
Generated accuracy and testing page from the current p-value-calculator calculator definition.
Change log
2026-05-06
Published default regression test documentation and metadata fallbacks for P-Value Calculator.
Calculator transparency
Accuracy pages are generated from checked-in calculator definitions and can be upgraded with curated review metadata over time.