Kolmogorov-Smirnov Two-Sample Test Calculator
Easily perform a Kolmogorov-Smirnov test online to compare two samples and determine if they are drawn from the same distribution. Get instant D-statistic and P-value results.
Input Data
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Test Results
D-Statistic:
P-Value:
CDF Visualization
About the Kolmogorov-Smirnov Test
The Kolmogorov-Smirnov (KS) test is a non-parametric test used to determine if two independent samples are drawn from the same continuous distribution. It quantifies the maximum distance (D-statistic) between the empirical cumulative distribution functions (CDFs) of the two samples. A small P-value (typically ≤ 0.05) suggests that the samples are likely from different distributions, rejecting the null hypothesis that they are from the same distribution. Conversely, a large P-value indicates that we do not have enough evidence to reject the null hypothesis. The CDF visualization helps to graphically compare the distributions.