Video lectures
1. Central tendency (mean/median) video
2. Variance and standard deviation video
3. Standard error/confidence interval video
4. Significance testing (test choice) video
5. Significance testing (p value) video
6. t test video
7. F test video
8. ANOVA video
9. Shapiro-Wilk test video
10. Kolmogorov-Smirnov test video
11. Mann-Whitney U test video
12. Kruskal-Wallis test video
13. Levene's test video
14. Categorical data intro video
15. Exact binomial/multinomial test video
16. Fisher's exact test video
17. Chi-squared test video
18. Pearson correlation video
19. Non-parametric correlation video
20. Linear regression video
21. ANCOVA video
22. Logistic regression video
23. Mahalanobis distance video
24. Hotelling T2 test video
25. MANOVA video
26. Resampling (bootstrapping) video
27. Resampling (two-sample tests) video
28. Principal component analysis video
29. Non-metric multidimensional scaling video
30. Maximum likelihood estimation video
R coding tutorials
R1. Introduction to R (pdf)
R2. Central tendency (pdf)
R3. Variance and standard deviation (pdf)
R4. Standard error/confidence interval (pdf)
R6. The t and F tests (pdf)
R7. ANOVA (pdf)
R8. Nonparametric statistics 1 (pdf)
R9. Nonparametric statistics 2 (pdf)
R10. Goodness of fit tests (pdf)
R11. Independence tests (pdf)
R12. Correlation (pdf)
R13. Linear regression (pdf)
R14. ANCOVA (pdf)
R15. Logistic regression (pdf)
R16. Hotelling T2 test (pdf)
R17. MANOVA (pdf)
R18. Resampling methods 1 (pdf)
R19. Resampling methods 2 (pdf)
R20. Principal component analysis (pdf)
R22. Non-metric multidimensional scaling (pdf)
R23. Maximum likelihood estimation (pdf)