This paper investigates methodologies for evaluating the probabilistic value (P-value) of the Kolmogorov–Smirnov (K–S) goodness-of-fit test using algorithmic program development implemented in Microsoft® Visual Basic® (VB). Six methods were examined for the one-sided one-sample and two methods for the two-sided one-sample cumulative sampling distributions in the investigative software implementation that was based on machine-precision arithmetic. For sample sizes n≤2000 considered, results from the Smirnov iterative method found optimal accuracy for K–S P-values≥0.02, while those from the SmirnovD were more accurate for lower P-values for the one-sided one-sample distribution statistics. Also, the Durbin matrix method sustained better P-value results than the Durbin recursion method for the two-sided one-sample tests up to n≤700 sample sizes. Based on these results, an algorithm for Microsoft Excel® function was proposed from which a model function was developed and its implementation was used to test the performance of engineering students in a general engineering course across seven departments.

This study investigates effect of different concentrations of ethylenediaminetetraacetic disodium dihydrate (EDTA-Na₂: C₁₀H₁₄N₂Na₂O₈.2H₂O) and sodium nitrite (NaNO₂) admixtures, individually or in synergistic/partial NaNO₂ replacement model, on the corrosion of concrete steel-rebar in NaCl and in H₂SO₄ media. Electrochemical monitoring techniques were employed for 48 steel-reinforced concrete samples immersed in the saline/marine and microbial/industrial simulating test environments for 96 days. These test data were subjected to the analyses of the Normal and the Weibull distribution fitting models, for each of which goodness of their fitting the electrochemical test data were studied using the Kolmogorov–Smirnov test statistics. Analysed results showed that EDTA-Na₂ admixture concentrations exhibited better inhibition effectiveness, with relatively good effectiveness in their synergistic admixtures, than their equal-mass NaNO₂ counterparts in both corrosive environments. Also, post-electrochemical experiment subjection of the concrete samples to testing and analyses of ASTM C39/C39M-03 and ASTM C267-01 showed that use of the optimally inhibiting 8 g EDTA-Na₂ (per 2 × 10^–3m³ concrete) culminates in gross reduction in compressive strength of concretes in both test-media. However, lowered EDTA-Na₂ concentrations exhibited better strength improvements with high corrosion inhibition in the test environments. These suggest suitability of EDTA-Na₂ as an environmental-friendly NaNO₂ alternative for inhibiting steel-rebar corrosion in saline/marine and microbial/industrial environments.