public override object GetHypothesisTestingForMean(object array, object m, object sigma, out object lessThan, out object greaterThan)
{
StandardDeviation sd = new StandardDeviation(array);
if (!IsDouble(m) || !IsDouble(sigma))
{
throw new ArgumentException(ERROR_ARGUMENT_DOUBLE);
}
var strongTypeDataDouble = array as double[];
double[] arrayDouble;
if (strongTypeDataDouble != null)
{
arrayDouble = strongTypeDataDouble;
}
else
{
throw new ArgumentException(ERROR_ARGUMENT_DOUBLE_ARRAY);
}
double t = ((double)sd.GetMean() - (double)m) / ((double)sigma / Math.Sqrt(arrayDouble.Length));
StudentTDistributionDouble tDistribution = new StudentTDistributionDouble(arrayDouble.Length - 1, t);
lessThan = (double)tDistribution.GetProbability();
greaterThan = 1 - (double)lessThan;
return(t);
}
public override object GetConfidenceInterval(double cl, double s, int n)
{
StudentTDistributionDouble tdistribution = new StudentTDistributionDouble(n, 1.27);
return(tdistribution.GetConfidenceInterval(cl, s));
}
public override object GetTParameter(double cl, int n)
{
StudentTDistributionDouble tdistribution = new StudentTDistributionDouble(n, 1.27);
return(tdistribution.GetTParameter(cl));
}
