public static void FillCharacteristicsGrid(List <double> data, DataGridView dgv)
{
dgv.Rows.Clear();
CharacteristicsGridModel gridModel = new CharacteristicsGridModel(dgv);
var avrgScore = StatCharacteristicModel.Average.GetAverage(data);
var avrgDeviation = StatCharacteristicModel.Average.GetMarkDeviation(data);
gridModel.Average.Cells[0].Value = avrgScore.ToString("G7");
gridModel.Average.Cells[1].Value = avrgDeviation.ToString("G7");
gridModel.Average.Cells[2].Value = StatCharacteristicModel.ConfidentialBelowBorder(avrgScore, avrgDeviation).ToString("G7");
gridModel.Average.Cells[3].Value = StatCharacteristicModel.ConfidentialTopBorder(avrgScore, avrgDeviation).ToString("G7");
gridModel.Median.Cells[0].Value = StatCharacteristicModel.GetMedian(data).ToString("G7");
gridModel.Median.Cells[1].Value = "-";
gridModel.Median.Cells[2].Value = "-";
gridModel.Median.Cells[3].Value = "-";
var sdNotSkewScore = StatCharacteristicModel.StandartDeviationNotSkew.GetValue(data);
var sdNotSkewDeviation = StatCharacteristicModel.StandartDeviationNotSkew.GetDeviation(data);
gridModel.StandartDeviationNotSkew.Cells[0].Value = sdNotSkewScore.ToString("G7");
gridModel.StandartDeviationNotSkew.Cells[1].Value = sdNotSkewDeviation.ToString("G7");
gridModel.StandartDeviationNotSkew.Cells[2].Value = StatCharacteristicModel.ConfidentialBelowBorder(sdNotSkewScore, sdNotSkewDeviation).ToString("G7");
gridModel.StandartDeviationNotSkew.Cells[3].Value = StatCharacteristicModel.ConfidentialTopBorder(sdNotSkewScore, sdNotSkewDeviation).ToString("G7");
var asymetryScore = StatCharacteristicModel.AsymmetryCoefficientNotSkew.GetValue(data);
var asmetryDeviation = StatCharacteristicModel.AsymmetryCoefficientNotSkew.GetDeviation(data);
gridModel.AsymetryCoef.Cells[0].Value = asymetryScore.ToString("G7");
gridModel.AsymetryCoef.Cells[1].Value = asmetryDeviation.ToString("G7");
gridModel.AsymetryCoef.Cells[2].Value = StatCharacteristicModel.ConfidentialBelowBorder(asymetryScore, asmetryDeviation).ToString("G7");
gridModel.AsymetryCoef.Cells[3].Value = StatCharacteristicModel.ConfidentialTopBorder(asymetryScore, asmetryDeviation).ToString("G7");
var excessScore = StatCharacteristicModel.ExcessNotSkew.GetValue(data);
var excessDeviation = StatCharacteristicModel.ExcessNotSkew.GetDeviation(data);
gridModel.ExcessCoef.Cells[0].Value = excessScore.ToString("G7");
gridModel.ExcessCoef.Cells[1].Value = excessDeviation.ToString("G7");
gridModel.ExcessCoef.Cells[2].Value = StatCharacteristicModel.ConfidentialBelowBorder(excessScore, excessDeviation).ToString("G7");
gridModel.ExcessCoef.Cells[3].Value = StatCharacteristicModel.ConfidentialTopBorder(excessScore, excessDeviation).ToString("G7");
var kontrexcessScore = StatCharacteristicModel.KontrekstsessCoef.GetValue(data);
var kontrexcessDeviation = StatCharacteristicModel.KontrekstsessCoef.GetDeviation(data);
gridModel.KontrexcessCoef.Cells[0].Value = kontrexcessScore.ToString("G7");
gridModel.KontrexcessCoef.Cells[1].Value = kontrexcessDeviation.ToString("G7");
gridModel.KontrexcessCoef.Cells[2].Value = StatCharacteristicModel.ConfidentialBelowBorder(kontrexcessScore, kontrexcessDeviation).ToString("G7");
gridModel.KontrexcessCoef.Cells[3].Value = StatCharacteristicModel.ConfidentialTopBorder(kontrexcessScore, kontrexcessDeviation).ToString("G7");
var pirsonScore = StatCharacteristicModel.PirsonCoef.GetValue(data);
var pirsonDeviation = StatCharacteristicModel.PirsonCoef.GetDeviation(data);
gridModel.PirsonCoef.Cells[0].Value = pirsonScore.ToString("G7");
gridModel.PirsonCoef.Cells[1].Value = pirsonDeviation.ToString("G7");
gridModel.PirsonCoef.Cells[2].Value = StatCharacteristicModel.ConfidentialBelowBorder(pirsonScore, pirsonDeviation).ToString("G7");
gridModel.PirsonCoef.Cells[3].Value = StatCharacteristicModel.ConfidentialTopBorder(pirsonScore, pirsonDeviation).ToString("G7");
dgv.Refresh();
}
private void FillStatAnalysisGrid(List <double> data, DataGridView dgv)
{
var avrgScore = StatCharacteristicModel.Average.GetAverage(data);
var avrgDeviation = StatCharacteristicModel.Average.GetMarkDeviation(data);
dgv.Rows.Clear();
var rowId = dgv.Rows.Add();
dgv.Rows[rowId].Cells[0].Value = "Середнє";
dgv.Rows[rowId].Cells[1].Value = avrgScore.ToString("G7");
dgv.Rows[rowId].Cells[2].Value = StatCharacteristicModel.ConfidentialBelowBorder(avrgScore, avrgDeviation).ToString("G7");
dgv.Rows[rowId].Cells[3].Value = StatCharacteristicModel.ConfidentialTopBorder(avrgScore, avrgDeviation).ToString("G7");
rowId = dgv.Rows.Add();
var sdNotSkewScore = StatCharacteristicModel.StandartDeviationNotSkew.GetValue(data);
var sdNotSkewDeviation = StatCharacteristicModel.StandartDeviationNotSkew.GetDeviation(data);
dgv.Rows[rowId].Cells[0].Value = "Середньоквадратичне";
dgv.Rows[rowId].Cells[1].Value = sdNotSkewScore.ToString("G7");
dgv.Rows[rowId].Cells[2].Value = StatCharacteristicModel.ConfidentialBelowBorder(sdNotSkewScore, sdNotSkewDeviation).ToString("G7");
dgv.Rows[rowId].Cells[3].Value = StatCharacteristicModel.ConfidentialTopBorder(sdNotSkewScore, sdNotSkewDeviation).ToString("G7");
rowId = dgv.Rows.Add();
var asymetryScore = StatCharacteristicModel.AsymmetryCoefficientNotSkew.GetValue(data);
var asmetryDeviation = StatCharacteristicModel.AsymmetryCoefficientNotSkew.GetDeviation(data);
dgv.Rows[rowId].Cells[0].Value = "Асиметрия";
dgv.Rows[rowId].Cells[1].Value = asymetryScore.ToString("G7");
dgv.Rows[rowId].Cells[2].Value = StatCharacteristicModel.ConfidentialBelowBorder(asymetryScore, asmetryDeviation).ToString("G7");
dgv.Rows[rowId].Cells[3].Value = StatCharacteristicModel.ConfidentialTopBorder(asymetryScore, asmetryDeviation).ToString("G7");
rowId = dgv.Rows.Add();
var excessScore = StatCharacteristicModel.ExcessNotSkew.GetValue(data);
var excessDeviation = StatCharacteristicModel.ExcessNotSkew.GetDeviation(data);
dgv.Rows[rowId].Cells[0].Value = "Ексцесс";
dgv.Rows[rowId].Cells[1].Value = excessScore.ToString("G7");
dgv.Rows[rowId].Cells[2].Value = StatCharacteristicModel.ConfidentialBelowBorder(excessScore, excessDeviation).ToString("G7");
dgv.Rows[rowId].Cells[3].Value = StatCharacteristicModel.ConfidentialTopBorder(excessScore, excessDeviation).ToString("G7");
}
