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 jarque–bera normality test calculator works
JB=n[S²/6+(K−3)²/24], asymptotically χ²(2).
Failure to reject normality is not proof of normality, especially in small samples.
Worked example
Jarque–Bera Normality Test example
A symmetric light-tailed sample produces small skewness and excess-kurtosis contributions.
JB=n[S²/6+(K−3)²/24], asymptotically χ²(2).
Supported inputs
Precision and limits
Model and design
The chi-square reference is asymptotic and the test focuses only on skewness and kurtosis departures.
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
Failure to reject normality is not proof of normality, especially in small samples.
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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