ISmKolmogorovSmirnovTest.P

Syntax

P: Double;

Description

The P property returns probability related to the obtained value of D.

Example

Sub main;

Var

can : Array[16] Of Double;

fra : Array[18] Of Double;

met : SmKolmogorovSmirnovTest;

status : Integer;

Begin

can[00] := 6209 ;

can[01] := 6385 ;

can[02] := 6752 ;

can[03] := 6837 ;

can[04] := 6495 ;

can[05] := 6907 ;

can[06] := 7349 ;

can[07] := 7213 ;

can[08] := 7061 ;

can[09] := 7180 ;

can[10] := 7132 ;

can[11] := 7137 ;

can[12] := 7473 ;

can[13] := 7722 ;

can[14] := 8088 ;

can[15] := 8516 ;

met := New SmKolmogorovSmirnovTest.Create;

met.Sample1.Value := can;

met.Distribution := KStestDistributionType.Poisson;

met.Hypothesis := KStestHypothesisType.NotEqual;

met.SuppliedParameters := True;

met.Parameter1 := 3;

status := met.Execute;

If status = 0 Then

Debug.WriteLine("Deviation (D): "+ met.D.ToString);

Debug.WriteLine("Standardized statistic (Z): "+ met.Z.ToString);

Debug.WriteLine("Probability (P): " + met.P.ToString);

Else

Debug.WriteLine(met.Errors);

End If;

End Sub main;

Check the hypothesis that the sample has Poisson distribution. Alternative hypothesis H1 assumes that the data cannot be a random sample of Poisson distribution. After executing the example the console window displays test results:

Module execution started

Deviation (D): 0.9375

Standardized statistic (Z): 3.75

Probability (P): 1.0842021724855044E-019

Module execution finished

This sample does not have Poisson distribution.