Quick guide
How to use this calculator
- Enter the observations, probabilities, model parameters, or summary statistics requested by the visible labels.
- Keep every value on the same scale and confirm that the selected sampling relationship, distribution, and tail convention match the question you are investigating.
- Read the result together with its assumptions and interpretation. Statistical output summarizes uncertainty under a model; it does not repair biased data or establish causation.
Calculation method
How the brown–forsythe test calculator works
Run one-way ANOVA on Zij=|Yij−medianᵢ|.
The result tests equality of spread without identifying which groups differ.
Worked example
Brown–Forsythe Test example
Median centering makes the spread comparison more resistant to outlying group values.
Run one-way ANOVA on Zij=|Yij−medianᵢ|.
Supported inputs
Precision and limits
Model and design
Independent groups are required; the test is robust, not assumption-free, and tiny samples offer limited evidence.
Input scope
Category lists accept up to 10,000 nonblank observations and render up to 200 distinct labels. Matching trims outer whitespace but remains case-sensitive; no numeric ordering or distance is inferred.
Interpretation
The result tests equality of spread without identifying which groups differ.
Decision boundary
The calculator does not validate how data were collected, diagnose dependence or bias, choose a scientifically meaningful effect, or replace review by a qualified statistician for consequential research, medical, regulatory, safety, or policy decisions.
Privacy
Entered values and calculated results stay in this browser and are not sent to an analytics service.
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