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 statistical test selector works
Method selection depends on the estimand, design, outcome scale, dependence, and model assumptions.
The result is a structured shortlist with checks to perform, not automatic validation of study design.
Worked example
Statistical Test Selector example
Two independent numeric groups suggest Welch’s two-sample t procedure when its conditions are defensible.
Method selection depends on the estimand, design, outcome scale, dependence, and model assumptions.
Supported inputs
Precision and limits
Model and design
No selector can diagnose sampling bias, measurement quality, dependence, confounding, or distributional suitability from labels alone.
Numerical scope
Inputs use double-precision numerical methods with guarded domains. Datasets accept up to 10,000 finite plain-decimal values. Extremely large parameters or probabilities deep in a numerical tail may require specialist statistical software.
Interpretation
The result is a structured shortlist with checks to perform, not automatic validation of study design.
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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