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| EKO1000 | Statistics - II | 3+0+0 | ECTS:8 | | Year / Semester | Spring Semester | | Level of Course | First Cycle | | Status | Compulsory | | Department | DEPARTMENT of ECONOMETRICS | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | Prof. Dr. Mustafa KÖSEOĞLU | | Co-Lecturer | Prof. Dr. Zehra ABDİOĞLU | | 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 classificate different forecasting and hypothesis testing methods. | 1 - 2 - 3 | 1, | | LO - 2 : | explain forecasting and hypothesis testing methods. | 1 - 2 - 3 | 1, | | LO - 3 : | apply forecast and test methods to sample data cases accurately and to argues. | 1 - 2 - 3 | 1, | | LO - 4 : | determine method that appropriate characteristics of data to forecast and test hypotheses. | 1 - 2 - 3 | 1, | | LO - 5 : | comment characteristics of the mass. | 1 - 2 - 3 | 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 | | | |
| 1 | Yamak, R. ve Köseoğlu M., 2015; Uygulamalı İstatistik ve Ekonometri, Trabzon. | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 04/2024 | 1 | 50 | | End-of-term exam | 16 | 06/2024 | 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 | 7 | 14 | 98 | | Arasınav için hazırlık | 14 | 1 | 14 | | Arasınav | 1 | 7 | 7 | | Uygulama | 3 | 10 | 30 | | Dönem sonu sınavı için hazırlık | 24 | 2 | 48 | | Dönem sonu sınavı | 1 | 1 | 1 | | Total work load | | | 240 |
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