Non-Parametric tests Kolmogorov-Smirnov one sample test. or Kolmogorov-smirnov goodness of fit test. The test was discovered by A. N. Kolmogorov and N. V. Smirnov hence that test has name Kolmogorov-smirnov test, they developed two test for one sample test and two sample test. in this article we discus the Kolmogorov-smirnov one sample test. this is simple one sample Non- Parametric test used to test whether the data follow specific distribution or their is significant difference between the observed and theoretical distribution. (i.e. theoretical distribution means assumed distribution or considered specific distribution). the test measured the goodness of fit of theoretical distribution. we known that chi-square test is used to test the goodness of fit. the main difference is that the chi-square test is used when data is categorical and Kolmogorov-smirnov test is used when data is continuous. Assumptions of Kolmogorov-smirnov test as follows: 1. the sample is selected form the