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Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
---|---|---|---|---|---|---|
Quantitative Methods II | MFD132 | Elective | Doctorate degree | 1 | Spring | 6 |
Prof. Dr. İlyas AKHİSAR
Prof. Dr. Selçuk KOÇ
Associate Prof. Dr. Feyyaz Cengiz DİKMEN
Associate Prof. Dr. Ozan GÖNÜLLÜ
1) Estimate population parameters.
2) Select the appropriate statistical method.
3) Develop a hypothesis test.
4) Solve hypothesis tests with a statistical software package.
5) Interpret the hypothesis test results.
Program Competencies | ||||
1 | 2 | 3 | ||
Learning Outcomes | ||||
1 | High | High | High | |
2 | High | High | High | |
3 | High | High | High | |
4 | High | High | High | |
5 | High | High | High |
Face to Face
None
Not Required
Probability theory, sampling and sampling distributions, parametric and non-parametric statistical analysis, interval estimation, statistical inference, test of goodness of fit and independence, analysis of variance, regression analysis, application of the statistical methods via computer software.
Contribution of Midterm Examination to Course Grade |
30% |
---|---|
Contribution of Final Examination to Course Grade |
70% |
Total |
100% |
Turkish
Not Required