private void err()
{
double srErr = 0;
tb.Text = "";
for (int i = 0; i < colum; i++)
{
double t = 2.5;
double[] buf = columArray[i];
double disp = DiscriptiveStatistics.Dispersion(buf);
srErr += DiscriptiveStatistics.StandartError(buf);
double err = Math.Sqrt(disp / buf.Length);
double err2 = t * err;
double n = t * t * disp * buf.Length / (err2 * err2 * buf.Length + t * t * disp);
tb.Text += i + "\tn = " + n + "\tсред.ош. = " + err + "\tпредел.ош. = " + err2 + "\n";
}
srErr /= colum;
tb.Text += "\nСредняя ошибка: " + srErr;
}
private void output(double[][] arr)
{
for (int i = 0; i < colum; i++)
{
string s = "";
string t = "";
s += (i + 1).ToString() + "\n\n";
t += "\t\n\n\n";
s += string.Format("{0:F2}", DiscriptiveStatistics.Average(arr[i])) + "\n\n";
t += "\t\n\n\n";
s += string.Format("{0:F2}", DiscriptiveStatistics.Amount(arr[i])) + "\n\n";
t += "\t\n\n\n";
s += string.Format("{0:F2}", DiscriptiveStatistics.StandartError(arr[i])) + "\n\n";
t += "\t\n\n\n";
s += string.Format("{0:F2}", DiscriptiveStatistics.Median(arr[i])) + "\n\n";
t += "\t\n\n\n";
s += string.Format("{0:F2}", DiscriptiveStatistics.Fashion(arr[i])) + "\n\n";
t += "\t\n\n\n";
s += string.Format("{0:F2}", DiscriptiveStatistics.StandartDeviation(arr[i])) + "\n\n";
t += "\t\n\n\n";
s += string.Format("{0:F2}", DiscriptiveStatistics.Dispersion(arr[i])) + "\n\n";
t += "\t\n\n\n";
s += string.Format("{0:F2}", DiscriptiveStatistics.Excess(arr[i])) + "\n\n";
t += "\t\n\n\n";
s += string.Format("{0:F2}", DiscriptiveStatistics.Asymmetry(arr[i])) + "\n\n";
t += "\t\n\n\n";
s += string.Format("{0:F2}", DiscriptiveStatistics.Interval(arr[i])) + "\n\n";
t += "\t\n\n\n";
s += string.Format("{0:F2}", DiscriptiveStatistics.Min(arr[i])) + "\n\n";
t += "\t\n\n\n";
s += string.Format("{0:F2}", DiscriptiveStatistics.Max(arr[i])) + "\n\n";
t += "\t\n\n\n";
s += string.Format("{0:F2}", arr[i].Length) + "\n\n";
t += "\t\n\n\n";
stpDiscrStat.Children.Add(new TextBlock {
Text = s
});
stpDiscrStat.Children.Add(new TextBlock {
Text = t
});
}
}