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Multivariate Analysis (IMB)

Goals

The course provides students with the following skills:
• Become familiar with quantitative data collection.
• Broaden and deepen knowledge of analyzing quantitative data using multivariate statistical analysis.
• Become familiar with the statistical program R.
• Develop the ability to use statistical methods to analyze economic phenomena.

Syllabus

1. Introduction to Statistics.
2. Sampling and statistical inference (confidence interval, parametric and nonparametric hypothesis testing).
3. Analysis of categorical data.
4. Correlation and regression analysis (assumptions testing, use of dummy variables, interactions, variable transformation with logarithm, etc.), hierarhical regression.
5. Logistic regression
6. Principal component analysis
7. Factor analysis
8. Clustering

Contacts

red. prof. dr.

Marko Pahor

Office hours

Wednesday at 15:00

room Zoom Room

Join Zoom Meeting https://uni-lj-si.zoom.us/j/98328916611?pwd=TFlwZGhaV3JjMEZpMDNMdnh4Zk90Zz09 Meeting ID: 983 2891 6611 Passcode: 600451