UNPAD SAS - Nonparametric Tests 1.4

UNPAD SAS - Nonparametric Tests is a focused toolkit for conducting nonparametric statistical analyses in the SAS environment. It streamlines the workflow for data that violate normality assumptions, contain outliers, or involve small sample sizes, offering clear procedures and clean, publication-ready output. Designed for students, researchers, and analysts, it brings commonly used rank-based methods into a consistent, easy-to-run set of routines.

Highlights:

• Supports widely used nonparametric procedures, including Wilcoxon signed-rank, Mann–Whitney (Wilcoxon rank-sum), Kruskal–Wallis, Friedman, Spearman’s rho, Kendall’s tau, and one- or two-sample Kolmogorov–Smirnov tests.
• Provides guided steps and example-ready syntax to reduce setup time and minimize errors.
• Generates readable tables and graphics, with options for exact p-values (when applicable), ties handling, and post hoc comparisons after significant omnibus tests.
• Offers sensible defaults alongside configurable options for confidence intervals, multiple-comparison adjustments, and missing-data handling.
• Facilitates reproducible workflows with exportable outputs suitable for reports, theses, and publications.

Ideal for use in social sciences, healthcare, market research, and education, UNPAD SAS - Nonparametric Tests helps you get robust, assumption-light results quickly and transparently in SAS.

UNPAD SAS - Nonparametric Tests is developed by University of Padjadjaran. The most popular version of this product among our users is 1.4.