Welcome
- Course Intro
- Summary Statistics
- Variable Types
Inferential Statistics
- Section Script
- R Statistical Packages
- Z Test
- Tests for Normality
- Exercise and Solution Normality Tests
- Further R Exercises
- 1 Sample T Test
- 2 Sample Independent T Test - Welch Test
- Exercise and Solution T Test
- Mann Whitney U Test - Wilcoxon Test
- ANOVA
- Post Hoc Tests - Tukey HSD
- Chi Squared Test and Kruskal Wallis Test
- Exercise ANOVA
- Solution ANOVA
- Exercise and Solution Chi Squared Test
- Correlations
- Summary Sections 1 and 2
- Inferential Statistics - Script
Statistical Methods for Outlier Detection
- Theory Behind Outlier Detection
- Outlier Detection - Univariate
- Outlier Detection - Multivariate
- Outlier Section Script
Statistical Modeling and Regressions
- Section Script
- Modeling Theory 1
- Modeling Theory 2
- Modeling Theory 3
- Linear Regression
- Multiple Linear Regression
- Exercise and Solution Linear Regression
- Logistic Regression
- Exercise and Solution Logistic Regression
- Summary Regression
- Regressions - Script
Advanced Modeling Techniques
- KNN - K Nearest Neighbors Classifier
- Random Forests
R Commander
- Link Collection useful for R Commander
- R Commander Intro
- Getting Data into Rcmdr
- Modeling with R Commander
