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Statistical Analysis (UD)

Goals

- Become familiar with and upgrade basic statistical methods.
- 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

- Statistical terminology and basic descriptive statistics
- Probability distributions: basic concepts, normal distribution, standardized normal distribution
- Sampling (simple random sampling): random unit selection, sample estimate, estimator, distribution of sample estimates
- Confidence intervals
- Different types of sampling methods
- Hypotheses testing: null and alternative hypothesis, type 1 and type 2 errors, hypothesis testing procedure about a population
- Testing hypothesis: about mean (and the difference between two means and equality of more means), about variance (and equality of variances), about proportion.
- Correlation, simple and multiple linear regression, regression model
building
- Relationship between categorical variables
- Non-parametric tests
- Time series analysis: basic concepts, linear and exponential trend function, periodical component

Contacts

Simona Korenjak Černe

Office hours

Thursday at 11:15

room RZ-403

I will not be in the office on April 3, 2025, so the student consultation hour will be canceled.

Business portrait of Simona Korenjak in the library of the School of Economics and Business in October 2024, with a round window and shelves full of books in the background

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.

Business portrait of Aleša Lotrič Dolinar in the library of the School of Economics and Business in October 2024, with a round window and shelves full of books in the background

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