Contents
- Population vs. sample
- Variables and its role
- Level of measurement
- Data distribution
- Descriptive statistics (practical)
- Analytical statistics (practical)
- Causation – role of 3rd variable
- Linear regression (practical)
- General linear model – univariate, multivariate, repeated measures (practical)
- Logistic regression (practical)
Training data
