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Week 4 Session 3 : Calculation and interpretation of Non-Parametric Tests (Hands-on session)
Non-parametric tests are "distribution-free" statistical methods used to analyze data that do not meet the assumptions of parametric tests (e.g., normal distribution). These tests are ideal for ranked, ordinal, or small datasets, often using ranks rather than raw values to compare medians or distributions. Common techniques include the Mann-Whitney U, Wilcoxon Signed-Rank, and Kruskal-Wallis tests.
Видео Week 4 Session 3 : Calculation and interpretation of Non-Parametric Tests (Hands-on session) канала Dr S Ajitha
Видео Week 4 Session 3 : Calculation and interpretation of Non-Parametric Tests (Hands-on session) канала Dr S Ajitha
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10 февраля 2026 г. 16:27:51
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