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Math & AlgebraGenerated accuracy model review: 2026-05-06
Confidence Interval 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
- **CI = Mean ± (Z × (s / √n))** * **Z**: Z-score corresponding to the confidence level (1.96 for 95%). * **s**: Standard Deviation. * **n**: Sample Size. * **s / √n**: Standard Error of the Mean.
Test cases
Default input regression check
Generated from the checked-in default inputs and calculate function.
Inputs
- Sample Mean: 100
- Sample Std Dev: 15
- Sample Size (n): 50
- Confidence Level: 95%
Expected outputs
- Confidence Interval: 95.84 to 104.16
- Margin of Error (±): 4.16
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
- The sample size must be positive and the sample standard deviation cannot be negative.
- This calculator uses z-scores for common confidence levels, which is most appropriate for larger samples or known-population-style approximations.
- The interval describes uncertainty around the mean estimate, not the spread of individual observations.
Unit handling
- Sample Mean accepts numeric values.
- Sample Std Dev accepts numeric values.
- Sample Size (n) accepts numeric values.
- Confidence Level 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 confidence-interval-calculator calculator definition.
Change log
2026-05-06
Published default regression test documentation and metadata fallbacks for Confidence Interval.
Calculator transparency
Accuracy pages are generated from checked-in calculator definitions and can be upgraded with curated review metadata over time.