Learn · Basics of Nonparametric Tests with Applications by R
Lecture 11 of 20Week 3
Lecture -11 : General discussion on two sample test & Mann Whitney Test
Prof. Saran Ishika Maiti · Visva Bharati University, Santiniketan
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- Basics of Nonparametric Tests with Applications by R, Visva Bharati University, Santiniketan (at NPTEL)
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- CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
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All the lectures
- Lecture -1 : Need of Nonparametric Inference
- Lecture -2 : Rank and Permutation
- Lecture -3 : Spearman Rank Correlation
- Lecture -4 : Kendall’s Rank Correlation
- Lecture -5 : Linear Rank Statistics (Part B)
- Lecture -6 : Sign Test
- Lecture -7 : Problem Solving on Wilcoxon signed rank test
- Lecture -8 : Kendall’s Rank Correlation
- Lecture -9 : Paired Sample Wicoxon signed rank test
- Lecture -10 : McNemar’s Test
- Lecture -11 : General discussion on two sample test & Mann Whitney Test
- Lecture -12 : Tie cases, (Wilcoxon)Mann Whitney Statistic & Problem Solving by R
- Lecture -13 : Median Test and Mood’s Tests for dispersion
- Lecture -14 : Wald Wolfowitz Run Test
- Lecture -15 : Extension to two sample proble
- Lecture -16 : Friedman Test (Two -way Nonparametric ANOVA)
- Lecture -17 : Few Forewords and Pearson Goodness of fit Test
- Lecture -18 : One Sample Kolmogorov Smirnov Test
- Lecture -19 : Two sample Kolmogorov Smirnov Test
- Lecture -20 : Few Other Goodness of Fit Tests