Introduction and motivation; (quantitative) research as seeking answers to the right questions (Tereza Plíštilová)
Research design, inference, and causalit
Data, data, data: measurement theory, measuring things, levels of measurement
Data, data, data in practice
Key descriptive statistics: measures of central tendency and measures of dispersion
Probability; standard normal distribution, binomial distribution (class on November 9 at 17:00, instead of 12:30).
Statistical inference and hypothesis testing
T-test (testing the difference between two groups) and experiments
Categorical and ordinal variables analysis: cross-tabs and chi-square; measures of association
Bivariate regression, principles, assumptions, and fit
Multiple regression
Model specification, interactions, and what's next

The troubleshooting tutorials are scheduled for: