Significance of Kolmogorov-Smirnov test
The Kolmogorov-Smirnov test is a statistical method utilized to evaluate the distribution of data. In this study, it revealed that the DVT data were not normally distributed. It serves to assess the distribution of subjective parameters and plays a crucial role in the evaluation of Twak Sarata. Additionally, this test is employed to ascertain whether a sample originates from a specific probability distribution, with a particular focus on testing for normality.
Synonyms: Goodness-of-fit test, Nonparametric test
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The concept of Kolmogorov-Smirnov test in scientific sources
The Kolmogorov-Smirnov test is a statistical method for assessing whether a sample follows a particular probability distribution, highlighting its application in testing the normality of DVT data, which was found to be non-normally distributed.
From: The Malaysian Journal of Medical Sciences
(1) This is a statistical test used to confirm the normality of continuous variables, and was performed as part of the analysis.[1] (2) The Kolmogorov-Smirnov test is a statistical test used to assess whether a sample of data comes from a specific distribution, such as a normal distribution.[2]