//Two sided one sample t test
public static TTestResult CalcTTest(double[] data, double testValue)
{
var sampleMean = data.Average();
var sampleVariance = data.Variance();
var result = new TTestResult {
TestStatistics = T(sampleMean, testValue, sampleVariance, data.Length)
};
result.UpdateP(new StudentT(sampleMean, sampleVariance, data.Length, Random));
return(result);
}
public static TTestResult CalcTTest(
double data1Mean, double data2Mean, double data1Variance,
double data2Variance, int data1Length, int data2Length)
{
var result = new TTestResult(
System.Math.Abs(T2Unequal(data1Mean, data2Mean, data1Variance, data2Variance,
data1Length, data2Length)));
var dof = DOF(data1Variance, data2Variance, data1Length, data2Length);
if (dof > 0)
{
result.UpdateP(
new StudentT(data1Variance.Equals(0) ? data2Mean : data1Mean,
data1Variance.Equals(0) ? data2Variance : data1Variance, dof, Random));
}
return(result);
}
public static TTestResult CalcTTest(double[] data1, double[] data2, bool equalVariance)
{
var mean1 = data1.Average();
var mean2 = data2.Average();
var variance1 = data1.Variance();
var variance2 = data2.Variance();
var result = new TTestResult(equalVariance
? System.Math.Abs(T2Equal(
mean1, mean2, variance1, variance2, data1.Length, data2.Length))
: System.Math.Abs(T2Unequal(
mean1, mean2, variance1, variance2, data1.Length, data2.Length)));
var dof = equalVariance
? data1.Length + data2.Length - 2
: DOF(variance1, variance2, data1.Length, data2.Length);
if (dof > 0)
{
result.UpdateP(new StudentT(mean1, variance1, dof, Random));
}
return(result);
}
