public override object GetHypothesisTestingForMean(object array, object m, object sigma, out object lessThan, out object greaterThan)
{
StandardDeviation sd = new StandardDeviation(array);
if (!IsFloat(m) || !IsFloat(sigma))
{
throw new ArgumentException(ERROR_ARGUMENT_FLOAT);
}
var strongTypeDataFloat = array as float[];
float[] arrayFloat;
if (strongTypeDataFloat != null)
{
arrayFloat = strongTypeDataFloat;
}
else
{
throw new ArgumentException(ERROR_ARGUMENT_FLOAT_ARRAY);
}
float t = ((float)sd.GetMean() - (float)m) / ((float)sigma / Convert.ToSingle(Math.Sqrt(arrayFloat.Length)));
StudentTDistributionFloat tDistribution = new StudentTDistributionFloat(arrayFloat.Length - 1, t);
lessThan = Convert.ToSingle(tDistribution.GetProbability());
greaterThan = Convert.ToSingle(1 - (float)lessThan);
return(t);
}
public override object GetConfidenceInterval(double cl, double s, int n)
{
StudentTDistributionFloat tdistribution = new StudentTDistributionFloat(n, 1.27F);
return(tdistribution.GetConfidenceInterval(cl, s));
}
public override object GetTParameter(double cl, int n)
{
StudentTDistributionFloat tdistribution = new StudentTDistributionFloat(n, 1.27F);
return(tdistribution.GetTParameter(cl));
}