Basics of Statistical Analysis
To allow students to become familiar with statistical methods and models, and their application in theory and practice.
| Code : | О2018ИОСА |
|---|---|
| Status: | C |
| Semestar: | 2nd |
| Number of classes per week: | 4+3 |
| ЕECTS: | 8 |
| Teachers: |
Бојан Башкот,
PhD Associate Professor Милица Марић, MSc Senior Assistant |
| Prerequisites: | |
| Learning Outcomes (gained knowledge): | After completing this course, students will master the statistical methodology and its application in order to obtain the results, through the various analyzes and research procedures, on the basis of which, further, valid conclusions can be drawn and appropriate decisions can be made. |
| Subject Contents: | Descriptive analysis. Probability. Theoretical distributions. Sampling and sample distributions. Trust intervals. Statistical hypothesis testing. Analysis of variance. Chi-square-test. Simple linear regression and correlation analysis. Multiple linear regression and correlation analysis. Index numbers. Time series analysis. |
| Teaching Methods and Learning Activities: | Lectures and exercises, with seminar classes. |
| Literature: | Lovrić, М.; Komić, Ј.; Stević, S. (2006). Statistical analysis - methods and application. Banja Luka: Faculty of Economics; Komić, Ј. (2000). Methods of statistical analysis through examples: workbook. Banja Luka: Faculty of Economics. |
| Types of Assessment for the subject: | Colloquium I (0-20 points); Colloquium II (0-20 points); Final exam (0-50 points); Attendance (2point); Class activities (seminar papers, discussions, case studies) (0-8 points) |
| Special Remarks for the subject: |