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| EKO1001 | Statistics - I | 3+0+0 | ECTS:4 | | Year / Semester | Fall Semester | | Level of Course | First Cycle | | Status | Compulsory | | Department | DEPARTMENT of BUSINESS | | 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 | Doç. Dr. Zehra ABDİOĞLU | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | The aim of this course is to teach students basic concepts of statistics. Using statistical methods, the course helps students make more realistic decision related to their profession in decision making process which they may face in their working life. |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | definite an understanding of basic concepts and rules of statistic and probability. | 1,2 | 1, | | LO - 2 : | summarize data and comment the data and graphics. | 1,2 | 1, | | LO - 3 : | apply statistic and probality formulas to data and reel cases accurately. | 1,2 | 1, | | LO - 4 : | draw a distinction among probability distributions and to determine appropriate distribution. | 1,2 | 1, | | LO - 5 : | comment sample data. | 1,2 | 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 | | |
| Descriptive statistics, probability theory, random variables, probability distributions, sampling theory and central limit theorem. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Meaning and role of statistics | | | Week 2 | Statistical presentation of data | | | Week 3 | Measures of location | | | Week 4 | Measures of location | | | Week 5 | Measures of variability | | | Week 6 | Measures of variability | | | Week 7 | probability | | | Week 8 | probability | | | Week 9 | Mid-term exam | | | Week 10 | Random vafriables | | | Week 11 | Random variables | | | Week 12 | Expected value and variances | | | Week 13 | Probability distributions | | | Week 14 | Probability distributions | | | Week 15 | sampling and sampling distributions | | | Week 16 | End-of-term exam | | | |
| 1 | Yamak, R. ve Köseoğlu, M., 2015; Uygulamalı İstatistik ve Ekonometri, Trabzon. | | | |
| 1 | Iman, R. L. and Conover, W. J., 1983, Modern Business Statistics, John Wiley & Sons, New York. | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 11/2022 | 1 | 50 | | End-of-term exam | 16 | 01/2023 | 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 | 9 | 14 | 126 | | Arasınav için hazırlık | 24 | 1 | 24 | | Arasınav | 1 | 1 | 1 | | Dönem sonu sınavı için hazırlık | 46 | 1 | 46 | | Dönem sonu sınavı | 1 | 1 | 1 | | Total work load | | | 240 |
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