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Math & AlgebraGenerated accuracy model review: 2026-05-06
Standard Deviation 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 calculator performs the following steps: 1. Calculates the **Mean** (average). 2. Subtracts the Mean from each number and squares the result. 3. Finds the average of those squared differences (this is the **Variance**). *Note: Divides by N for Population, or N-1 for Sample.* 4. Takes the square root of the Variance to get the **Standard Deviation**.
Test cases
Default input regression check
Generated from the checked-in default inputs and calculate function.
Inputs
- Data Set: 10, 12, 23, 23, 16, 23, 21, 16
- Type: Sample (n-1)
Expected outputs
- Standard Deviation: 5.24
- Variance: 27.43
- Mean: 18
- Count (n): 8
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 dataset should contain numeric values only, entered as a comma- or space-separated list.
- Choose Sample when your list is a subset of a larger population and Population when it includes every observation of interest.
- Standard deviation is non-negative and becomes more sensitive when outliers are present.
Unit handling
- Data Set accepts text values.
- 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 standard-deviation-calculator calculator definition.
Change log
2026-05-06
Published default regression test documentation and metadata fallbacks for Standard Deviation.
Calculator transparency
Accuracy pages are generated from checked-in calculator definitions and can be upgraded with curated review metadata over time.