Statistics · Hypothesis testing

Kolmogorov–Smirnov Test Calculator

Compare an empirical sample with a fully specified normal distribution using the one-sample KS statistic.

Statistics · Hypothesis testing

Enter your statistical inputs

Private in-browser calculation · explicit assumptions

Enter plain numbers without measurement units. Datasets accept commas, spaces, semicolons, or line breaks and are limited to 10,000 values. Results stay in this browser.

Statistics result

Enter valid values to see the result.

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Quick guide

How to use this calculator

  1. Enter the observations, probabilities, model parameters, or summary statistics requested by the visible labels.
  2. Keep every value on the same scale and confirm that the selected sampling relationship, distribution, and tail convention match the question you are investigating.
  3. 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 kolmogorov–smirnov test calculator works

D=max(D+,D−); p uses the Kolmogorov asymptotic distribution.

The largest CDF gap shows model mismatch but not where the model should be changed.

Worked example

Kolmogorov–Smirnov Test example

A sample can be compared with a normal model whose mean and SD were specified independently.

D=max(D+,D−); p uses the Kolmogorov asymptotic distribution.

Supported inputs

Precision and limits

Model and design

Mean and SD must be fixed independently of these data; estimated parameters require a Lilliefors-type calibration not provided here.

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 largest CDF gap shows model mismatch but not where the model should be changed.

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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