CEVAP:

The Kolmogorov-Smirnov test is another goodness of fit test. It is based on the agreement between the distribution of a set of observed values and some particular theoretical distribution. The KolmogorovSmirnov one sample test determines whether the scores in the sample come from a population with theoretical distribution. The test compares the observed cumulative frequency distribution with the cumulative frequency distribution which would occur under the null hypothesis. In Kolmogorov-Smirnov test, the level of measurement for data is at least ordinal. This is the power of Kolmogorov-Smirnov test.