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EKO 228 | Statistics-II | 3+0+0 | ECTS:6 | Year / Semester | Spring Semester | Level of Course | First Cycle | Status | Compulsory | Department | DEPARTMENT of ECONOMICS | Prerequisites and co-requisites | None | Mode of Delivery | Face to face | Contact Hours | 14 weeks - 3 hours of lectures per week | Lecturer | Prof. Dr. Zehra ABDİOĞLU | Co-Lecturer | none | Language of instruction | Turkish | Professional practise ( internship ) | None | | The aim of the course: | The objective of this course is to help students by teaching statistical inference methods used in decision making during professional life and to help them develop their scientific thinking. |
Learning Outcomes | CTPO | TOA | Upon successful completion of the course, the students will be able to : | | | LO - 1 : | define and classification different forecasting and hypothesis testing methods
| 1,2,3,4,5,6,7,8,9 | 1 | LO - 2 : | explaine forecasting and hypothesis testing methods
| 1,2,3,4,5,6,7,8,9 | 1 | LO - 3 : | apply forecast and test methods to sample data cases accurately and to argues
| 1,2,3,4,5,6,7,8,9 | 1 | LO - 4 : | determine method that appropriate characteristics of data to forecast and test hypotheses
| 1,2,3,4,5,6,7,8,9 | 1 | LO - 5 : | comment characteristics of the mass.
| 1,2,3,4,5,6,7,8,9 | 1 | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome | |
Statistical estimation, hypothesis testing, chi-square test, analysis of correlation and regression, analysis of variance and Indexes.
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Course Syllabus | Week | Subject | Related Notes / Files | Week 1 | Estimation theory
| | Week 2 | Estimation theory
| | Week 3 | Estimation theory
| | Week 4 | Hypothesis testing
| | Week 5 | Hypothesis testing
| | Week 6 | Hypothesis testing
| | Week 7 | Chi-square test
| | Week 8 | Chi-square test
| | Week 9 | Mid-term exam
| | Week 10 | Analysis of variance
| | Week 11 | Analysis of variance
| | Week 12 | Analysis of regression and correlation
| | Week 13 | Analysis of regression and correlation
| | Week 14 | Analysis of regression and correlation
| | Week 15 | Indexes
| | Week 16 | End-of-term exam
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1 | Yamak, R. ve Köseoğlu M., 2009; Uygulamalı İstatistik ve Ekonometri, Trabzon. | | |
Method of Assessment | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | Mid-term exam | 9 | 28/03/2013 | 1 | 50 | End-of-term exam | 16 | 02/06/2013 | 1,25 | 50 | |
Student Work Load and its Distribution | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | Yüz yüze eğitim | 3 | 14 | 42 | Sınıf dışı çalışma | 5 | 14 | 70 | Arasınav için hazırlık | 14 | 1 | 14 | Arasınav | 1 | 1 | 1 | Dönem sonu sınavı için hazırlık | 22 | 1 | 22 | Dönem sonu sınavı | 1 | 1 | 1 | Total work load | | | 150 |
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