Statistics.tTest Method

#	Name	Description
1	Data1	First set of data from which to compute the mean.
2	Data2	Second set of data from which to compute the mean.
3	hRes	Returns the result of the null hypothesis (default assumption is that the means are equal).
4	hType	Defines the type of the null hypothesis (left, right and two - tailed).
5	Paired	If true, tTest routine will perform Two-Sample Paired t-Test. If false, tTest will perform Two-Sample Pooled (unpaired) t-Test.
6	Signif	(Significance level) returns the probability of observing the given result by chance given that the null hypothesis is true.
7	ConfInt	Returns the 100*(1-Alpha) percent confidence interval for the mean.
8	Alpha	Defines the desired significance level. If the significance probability (Signif) is bellow the desired significance (Alpha), the null hypothesis is rejected.

Returns: Double - The T-test statistics.

Copyusing Dew.Math;
using Dew.Stats;
using Dew.Stats.Units;
namespace Dew.Examples
{
    private void Example()
    {
        Vector d1 = new Vector(0);
        Vector d2 = new Vector(0);
        d1.SetIt(false, new double[] {2, 3, 5, 2.5}); // mean = 3.125
        d2.SetIt(false, new double[] {5, 7, 8}); // mean = 6.6666666667
        double signif, TStat;
        double[] ci = new double[2];
        THypothesisResult hres;
        // don't use normal approximation
        TStat = Statistics.tTest(d1,d2,out hres,out signif,out ci,false,THypothesisType.htLeftTailed,0.05);
        // signif = 0.01070092300; hres = hrReject;
        // ci=[ -5.702239060933, +INF  ]
        // Comment : Since the signif is smaller than Alpha (0.05), the
        // null hypothesis (H0) that data means are equal is rejected and
        // the alternative (Ha) that d1 mean is smaller than d2 mean
        // CANNOT be rejected
    }
}

Returns: Double