
Quantitative analysis 1 (MASTER)
Goals
- Obtain basic knowledge about sampling, parameter estimation and analysis of relationship between variables.
- Develop skills and ability to use statistical analysis software.
- Develop the ability of critical thinking and evidence-based inference.
Syllabus
Introduction
Basics
Data: sources and presentation
Frequency distribution
Measures of central tendency
Measures of variability
Introduction to sampling and parameter estimation
Hypotheses testing
Non-parametric statistical methods
Regression analysis
Goodness-of-fit
Time series analysis
Structural breaks
Panel data analysis
Difference-in-difference technique
Introduction to survival analysis
Contacts
Aleša Lotrič Dolinar
Office hours
Tuesday at 11:00
room RZ-403
Until the end of September 2025 the contact hours (live or Zoom) will take place only by prior arrangement via e-mail.
