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STATISTICS AND DATA ANALYSIS

EART125

VIDEOS AND CODING TUTORIALS

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)