| Course Title | Code | Language | Type | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| statistics | ORT2180 | Turkish | Compulsory | 2. Semester | 2 + 1 | 3.0 | 4.0 |
| Prerequisite Courses | |
| Course Level | Associate |
| Mode of delivery | Face to face |
| Course Coordinator | Öğr. Gör. Dr. Ali Said KABAKCI |
| Instructor(s) | |
| Goals | Teach students basic concepts and techniques of statistics, introduce statistics make them lare it, provide critical thinking with the help of statistical concepts. |
| Course Content | The basic concepts of statistics, classification of data, the central tendency and dispersion, methods of statistical estimation, hypothesis testing, analysis of variance, correlation and regression. |
| # | Öğrenme Kazanımı |
| 1 | To recognize and learn the basic terms and concepts related to statistics. |
| 2 | Data collection, classification and presentation ability |
| 3 | To determine and apply the most appropriate statistical technique / techniques to apply setting. |
| 4 | Be able to predict and interpret statistically |
| 5 | Be able to analyze the problems encountered in working life |
| 6 | To understand the role of analysis of statistical data in administrative decision-making. |
| Week | Topics/Applications | Method |
|---|---|---|
| 1. Week | General Definition Of Statistics, History And General Concepts. | Interview, Practice, Presentation (Preparation) |
| 2. Week | Statistical data collection and classification. | Interview, Practice, Presentation (Preparation) |
| 3. Week | Central Tendency And Distribution Measure | Presentation (Preparation), Practice, Interview |
| 4. Week | Central Tendency And Distribution Measure (Continued) | Presentation (Preparation), Practice, Interview |
| 5. Week | Probability Theory | Interview, Practice, Presentation (Preparation) |
| 6. Week | Theoretical distributions | Practice, Presentation (Preparation), Interview |
| 7. Week | Sampling distribution | Interview, Presentation (Preparation), Practice |
| 8. Week | Midterm Exam | Presentation (Preparation), Interview, Practice |
| 9. Week | Statistical estimation | Presentation (Preparation), Practice, Interview |
| 10. Week | Hypothesis testing | Presentation (Preparation), Practice, Interview |
| 11. Week | The chi-square test | Interview, Practice, Presentation (Preparation) |
| 12. Week | Analysis of variance | Interview, Practice, Presentation (Preparation) |
| 13. Week | Correlation analysis | Presentation (Preparation), Interview, Practice |
| 14. Week | Regression analysis | Practice, Interview, Presentation (Preparation) |
| Program Requirements | DK1 | DK2 | DK3 | DK4 | DK5 | DK6 |
|---|
| Ders Kitabı veya Notu | Ders Kitabı veya Ders Notu bulunmamaktadır. |
|---|---|
| Diğer Kaynaklar |
|
| ECTS credits and course workload | Quantity | Duration (Hour) | Total Workload (Hour) | |
|---|---|---|---|---|
|
Ders İçi |
Class Hours | 14 | 2 | 28 |
|
Ders Dışı |
Preparation, After Class Study | 14 | 2 | 28 |
| Research | 14 | 2 | 28 | |
| Practice | 11 | 1 | 11 | |
| Other Activities | 11 | 1.5 | 16.5 | |
|
Sınavlar |
Midterm 1 | 1 | 1 | 1 |
| Final | 1 | 1 | 1 | |
| Classroom Activities | 14 | 1 | 14 | |
| Total Workload | 127.5 | |||
| *AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 4.0 | ||
