Following Coffin and Saltzman (2000), a statistical analysis of computational tests of algorithms and heuristics is designed for evaluating the performance of computer implementations of the algorithms. Some case studies are simulated, and a statistically rigorous data analysis of the results obtained is carried out using Python; in particular, multivariate exploratory data analysis, multiple linear regression, and multiple comparisons (Anova and Tukey post-hoc Intervals; nonparametric global test and post-hoc tests) will be used.