if (i == n) { if (i % 2 == 1) matrix.setSignificance(n, i, SIGNIFICANCE_WIN); else matrix.setSignificance(n, i, SIGNIFICANCE_LOSS);
m_ResultMatrix.setSignificance(j, i, ResultMatrix.SIGNIFICANCE_WIN); } else if (pairedStats.differencesSignificance > 0) { m_ResultMatrix .setSignificance(j, i, ResultMatrix.SIGNIFICANCE_LOSS); } else { m_ResultMatrix.setSignificance(j, i, ResultMatrix.SIGNIFICANCE_TIE);
if (i == n) { if (i % 2 == 1) matrix.setSignificance(n, i, SIGNIFICANCE_WIN); else matrix.setSignificance(n, i, SIGNIFICANCE_LOSS);
m_ResultMatrix.setSignificance(j, i, ResultMatrix.SIGNIFICANCE_WIN); } else if (pairedStats.differencesSignificance > 0) { m_ResultMatrix .setSignificance(j, i, ResultMatrix.SIGNIFICANCE_LOSS); } else { m_ResultMatrix.setSignificance(j, i, ResultMatrix.SIGNIFICANCE_TIE);
if (i == n) { if (i % 2 == 1) { matrix.setSignificance(n, i, SIGNIFICANCE_WIN); } else { matrix.setSignificance(n, i, SIGNIFICANCE_LOSS);
if (i == n) { if (i % 2 == 1) matrix.setSignificance(n, i, SIGNIFICANCE_WIN); else matrix.setSignificance(n, i, SIGNIFICANCE_LOSS);
if (i == n) { if (i % 2 == 1) matrix.setSignificance(n, i, SIGNIFICANCE_WIN); else matrix.setSignificance(n, i, SIGNIFICANCE_LOSS);
if (i == n) { if (i % 2 == 1) matrix.setSignificance(n, i, SIGNIFICANCE_WIN); else matrix.setSignificance(n, i, SIGNIFICANCE_LOSS);
if (i == n) { if (i % 2 == 1) matrix.setSignificance(n, i, SIGNIFICANCE_WIN); else matrix.setSignificance(n, i, SIGNIFICANCE_LOSS);
if (i == n) { if (i % 2 == 1) matrix.setSignificance(n, i, SIGNIFICANCE_WIN); else matrix.setSignificance(n, i, SIGNIFICANCE_LOSS);
if (i == n) { if (i % 2 == 1) matrix.setSignificance(n, i, SIGNIFICANCE_WIN); else matrix.setSignificance(n, i, SIGNIFICANCE_LOSS);
if (i == n) { if (i % 2 == 1) matrix.setSignificance(n, i, SIGNIFICANCE_WIN); else matrix.setSignificance(n, i, SIGNIFICANCE_LOSS);
if (i == n) { if (i % 2 == 1) matrix.setSignificance(n, i, SIGNIFICANCE_WIN); else matrix.setSignificance(n, i, SIGNIFICANCE_LOSS);
if (i == n) { if (i % 2 == 1) { matrix.setSignificance(n, i, SIGNIFICANCE_WIN); } else { matrix.setSignificance(n, i, SIGNIFICANCE_LOSS);