public void FTest()
{
FTestResult ftest = BasicStatisticalFormulas.FTest(0.05, this.AssociatedObject.series1, this.AssociatedObject.series2);
this.AssociatedObject.result.Text = "FValue = " + ftest.FValue.ToString() + "\n" +
"F Critical Value on Tail = " + ftest.FCriticalValueOneTail.ToString() + "\n" +
"ProbabilityFOneTail = " + ftest.ProbabilityFOneTail.ToString() + "\n" +
"First Series Mean = " + ftest.FirstSeriesMean.ToString() + "\n" +
"Second Series Mean = " + ftest.SecondSeriesMean.ToString() + "\n" +
"First Series Variance = " + ftest.FirstSeriesVariance.ToString() + "\n" +
"Second Series Variance = " + ftest.SecondSeriesVariance.ToString() + "\n";
}
public void AnovaTest()
{
AnovaResult anova = BasicStatisticalFormulas.Anova(0.05, new ChartSeries[] { this.AssociatedObject.series1, this.AssociatedObject.series2 });
this.AssociatedObject.result.Text = "F Ratio = " + anova.FRatio + "\n" +
"F Critical Value =" + anova.FCriticalValue + "\n" +
"Degree of Freedom Between Groups = " + anova.DegreeOfFreedomBetweenGroups + "\n" +
"Degree of Freedom within Groups = " + anova.DegreeOfFreedomWithinGroups + "\n" +
"Degree of Freedom total = " + anova.DegreeOfFreedomTotal + "\n" +
"Mean square variance beteeen groups = " + anova.MeanSquareVarianceBetweenGroups + "\n" +
"Mean square variance within groups = " + anova.MeanSquareVarianceWithinGroups + "\n" +
"Sum of square between groups = " + anova.SumOfSquaresBetweenGroups + "\n";
}
public void ztest()
{
ZTestResult ztest = BasicStatisticalFormulas.ZTest(this.AssociatedObject.meandiff.Value, 10, 5, 0.5, this.AssociatedObject.series1, this.AssociatedObject.series2);
this.AssociatedObject.result.Text = "Z Value = " + ztest.ZValue.ToString() + "\n" +
"Z Critical Value One Tail = " + ztest.ZCriticalValueOneTail.ToString() + "\n" +
"Z Critical Value Two Tail = " + ztest.ZCriticalValueTwoTail.ToString() + "\n" +
"Probability Z One Tail = " + ztest.ProbabilityZOneTail.ToString() + "\n" +
"Probability Z Two Tail = " + ztest.ProbabilityZTwoTail.ToString() + "\n" +
"First Series Mean = " + ztest.FirstSeriesMean.ToString() + "\n" +
"Second Series Mean = " + ztest.SecondSeriesMean.ToString() + "\n" +
"First Series Variance = " + ztest.FirstSeriesVariance.ToString() + "\n" +
"Second Series Variance = " + ztest.SecondSeriesMean.ToString() + "\n";
}
public void TTest()
{
TTestResult ttest = BasicStatisticalFormulas.TTestEqualVariances(this.AssociatedObject.meandiff.Value, 0.1, this.AssociatedObject.series1, this.AssociatedObject.series2);
this.AssociatedObject.result.Text = "T Value = " + ttest.TValue.ToString() + "\n" +
"T Critical Value one Tail = " + ttest.TCriticalValueOneTail.ToString() + "\n" +
"T Critical value two Tail = " + ttest.TCriticalValueTwoTail.ToString() + "\n" +
"Probability T One Tail = " + ttest.ProbabilityTOneTail.ToString() + "\n" +
"Probability T Two Tail = " + ttest.ProbabilityTTwoTail.ToString() + "\n" +
"First Series Mean = " + ttest.FirstSeriesMean.ToString() + "\n" +
"First Series Variance = " + ttest.FirstSeriesVariance.ToString() + "\n" +
"Second Series Mean = " + ttest.SecondSeriesMean.ToString() + "\n" +
"Second Series Variance =" + ttest.SecondSeriesVariance.ToString() + "\n";
}
public void StatisticFormula()
{
if (this.AssociatedObject.series1.Data != null && this.AssociatedObject.series2.Data != null)
{
this.AssociatedObject.result.Text = "Mean = " + BasicStatisticalFormulas.Mean(this.AssociatedObject.series1).ToString() + "\n" +
"Median = " + BasicStatisticalFormulas.Median(this.AssociatedObject.series1).ToString() + "\n" +
"Standard deviation = " + BasicStatisticalFormulas.StandardDeviation(this.AssociatedObject.series1, true).ToString() + "\n" +
"Varianve = " + BasicStatisticalFormulas.Variance(this.AssociatedObject.series1, true).ToString() + "\n" +
"Variance Biased Estimator = " + BasicStatisticalFormulas.VarianceBiasedEstimator(this.AssociatedObject.series1).ToString() + "\n" +
"Variance Unbiased Estimator = " + BasicStatisticalFormulas.VarianceUnbiasedEstimator(this.AssociatedObject.series1).ToString() + "\n" +
"Co Variance = " + BasicStatisticalFormulas.Covariance(this.AssociatedObject.series1, this.AssociatedObject.series2).ToString() + "\n" +
"Co releation = " + BasicStatisticalFormulas.Correlation(this.AssociatedObject.series1, this.AssociatedObject.series2).ToString() + "\n";
ChartHistogramType.SetDrawNormalDistribution(this.AssociatedObject.series2, false);
// ChartHistogramType.SetDrawNormalDistribution(this.AssociatedObject.series1, false);
}
}
