From: A graphical method of cumulative differences between two subpopulations
Symbol | Meaning | Equation for the unweighted case | Equation for the case with weights |
---|---|---|---|
\(A_k\) | Abscissa for the cumulative graph in the case with weights | (Not applicable) | (16) |
\(C_k\) | Cumulative average difference between the subpopulations | (3) | (15) |
\(D_k\) | Average difference between the subpopulations | ||
\(\Delta _k\) | Expected slope of \(C_j\) from \(j = k\) to \(j = k+1\) | (6) | (20) |
G | Kolmogorov-Smirnov statistic | (11) | (11) |
H | Kuiper statistic | (12) | (12) |
\(R^j_k\) | (Average) response for subpopulation j’s kth block—random dependent variable, outcome, or result | (Step 4 within section “Unweighted sampling”) | (Readjusted in section “Weighted sampling”) |
\(S^j_k\) | (Average) score for subpopulation j’s kth block—non-random independent variable | (Step 4 within section “Unweighted sampling”) | (Readjusted in section “Weighted sampling”) |
\(\sigma\) | Scale of random fluctuations over the full range of scores | (13) | (21) |
\(T_k\) | Total weight for \(R^0_{k/2}\) or \(R^1_{(k-1)/2}\) | (Not applicable) | (14) |
\(W_k\) | Aggregated weight | (Not applicable) | (14) |