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The Kolmogorov-Smirnov test is a statistical method used to test for normal distribution of variables.

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SUPPORTED
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3 sources for · 0 against

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Is it true that the Kolmogorov-Smirnov test is a statistical method used to test for normal distribution of variables?

Yes. The Kolmogorov-Smirnov test is widely recognized and utilized in statistical literature as a goodness-of-fit test for assessing whether a variable follows a normal distribution.

Verdict: SUPPORTED · 3 sources for, 0 against · Last checked

Evidence for · 3
Parameterized Kolmogorov–Smirnov Test for Normality
2025
The paper discusses defining and practically applying the parameterized Kolmogorov-Smirnov test for normality.
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Sulewski, P. & Stoltmann, D. (2025). Parameterized Kolmogorov–Smirnov Test for Normality. doi.org. https://doi.org/10.3390/app16010366

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Parameterized Kolmogorov-Smirnov Test for Normality
2025
The study introduces modifications to the Kolmogorov-Smirnov goodness-of-fit test for normality.
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Sulewski, P. & Stoltmann, D. (2025). Parameterized Kolmogorov-Smirnov Test for Normality. doi.org. https://doi.org/10.20944/preprints202511.0875.v1

Comparison of Goodness of Fit Tests for Normal Distribution
2018
The article evaluates the Kolmogorov-Smirnov test as a goodness-of-fit test used to determine the normality of a given dataset.
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Friday, I. A. & Runyi, E. F. (2018). Comparison of Goodness of Fit Tests for Normal Distribution. doi.org. https://doi.org/10.9734/ajpas/2018/v1i224507

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