**9.2****
****Two Sample Kolmogorov-Smirnov Test** (.NET, C#, CSharp, VB, Visual Basic, F#)

Class **TwoSampleKSTest**
performs a two-sample Kolmogorov-Smirnov test to compare
the distributions of values in two data sets. For each potential value
*x*, the Kolmogorov-Smirnov test compares
the proportion of values in the first sample less than *x*
with the proportion of values in the second sample less than *x*. The null hypothesis is that the two samples
have the same continuous distribution. The alternative hypothesis is
that they have different continuous distributions.

Sample data can be passed to the constructor as vectors, numeric columns in a data frame, or arrays of doubles. Thus:

Code Example – C# Kolmogorov-Smirnov test

var ks = new TwoSampleKSTest( data1, data2 );

By default, a **TwoSampleKSTest**
object performs the Kolmogorov-Smirnov test with . A different alpha
level can be specified at the time of construction using constructor
overloads, or after construction using the provided Alpha
property.

Once you've constructed and configured a **TwoSampleKSTest** object, you can access
the various test results using the provided properties:

Code Example – C# Kolmogorov-Smirnov test

Console.WriteLine( "statistic = " + test.Statistic ); Console.WriteLine( "p-value = " + test.P ); Console.WriteLine( "alpha = " + test.Alpha ); Console.WriteLine( "reject the null hypothesis? " + test.Reject);