What does the Kolmogorov-Smirnov test show?

The Kolmogorov-Smirnov test is used to test the null hypothesis that a set of data comes from a Normal distribution. The Kolmogorov Smirnov test produces test statistics that are used (along with a degrees of freedom parameter) to test for normality.

How do I interpret Kolmogorov Smirnov p value?

The p-value returned by the k-s test has the same interpretation as other p-values. You reject the null hypothesis that the two samples were drawn from the same distribution if the p-value is less than your significance level.

What is a good K-S score?

K-S should be a high value (Max =1.0) when the fit is good and a low value (Min = 0.0) when the fit is not good. When the K-S value goes below 0.05, you will be informed that the Lack of fit is significant.

How do you report a normality test?

Reporting Normality Test in SPSS

  1. From the SPSS menu, choose Analyze – Descriptives – Explore.
  2. A new window will appear.
  3. Click on Statistics… button.
  4. Click on Plots… button, New window will open.
  5. The test of normality results will appear in the output window.

What is a good KS statistic value?

=1.0
K-S should be a high value (Max =1.0) when the fit is good and a low value (Min = 0.0) when the fit is not good. When the K-S value goes below 0.05, you will be informed that the Lack of fit is significant.

Is one sample Kolmogorov-Smirnov test Parametric?

Many parametric tests require normally distributed variables. The one-sample Kolmogorov-Smirnov test can be used to test that a variable (for example, income) is normally distributed. Statistics. Mean, standard deviation, minimum, maximum, number of nonmissing cases, and quartiles.

Is higher K-S better?

What is a K-S value?

The Kolmogorov–Smirnov statistic quantifies a distance between the empirical distribution function of the sample and the cumulative distribution function of the reference distribution, or between the empirical distribution functions of two samples.