Basic Methods of Statistical Data Analysis in Practice

Lectures:
- Exploratory data analysis, types of variables, summarization of distributions. Probability theory.
- Random variable and probability distribution, expected value operator and moments of probability distribution, joint and conditional distributions.
- Probability models for discrete and continuous random variables.
- Sampling distributions of the mean, distribution of sample proportion.
- Point and interval estimation, hypothesis testing, pure significance tests, p-values Two sample tests, paired difference tests.
- One factor analysis of variance, ANOVA table, multiple comparisons, post hoc analysis.
- Simple linear regression model.
- Multiple regression models.