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)); }