| Course Title | Code | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|
| statistics | ORT2180 | 2. Semester | 2 + 1 | 3.0 | 4.0 |
| Prerequisite Courses | None |
| Language of Instruction | Turkish |
| Course Level | Associate |
| Course Type | |
| Mode of delivery | Face to face |
| Course Coordinator |
Lect. Dr. Ali Said KABAKCI |
| Instructor(s) |
Ali Said KABAKCI |
| Assistants | |
| 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. |
| Learning Outcomes |
- To recognize and learn the basic terms and concepts related to statistics. - To recognize and learn the basic terms and concepts related to statistics. - Data collection, classification and presentation ability - Data collection, classification and presentation ability - To determine and apply the most appropriate statistical technique / techniques to apply setting. - To determine and apply the most appropriate statistical technique / techniques to apply setting. - Be able to predict and interpret statistically - Be able to predict and interpret statistically - Be able to analyze the problems encountered in working life - Be able to analyze the problems encountered in working life - To understand the role of analysis of statistical data in administrative decision-making. - 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. | |
| 1. Week | General Definition Of Statistics, History And General Concepts. | |
| 2. Week | Statistical data collection and classification. | |
| 2. Week | Statistical data collection and classification. | |
| 3. Week | Central Tendency And Distribution Measure | |
| 3. Week | Central Tendency And Distribution Measure | |
| 4. Week | Central Tendency And Distribution Measure (Continued) | |
| 4. Week | Central Tendency And Distribution Measure (Continued) | |
| 5. Week | Probability Theory | |
| 5. Week | Probability Theory | |
| 6. Week | Theoretical distributions | |
| 6. Week | Theoretical distributions | |
| 7. Week | Sampling distribution | |
| 7. Week | Sampling distribution | |
| 8. Week | Midterm Exam | |
| 8. Week | Midterm Exam | |
| 9. Week | Statistical estimation | |
| 9. Week | Statistical estimation | |
| 10. Week | Hypothesis testing | |
| 10. Week | Hypothesis testing | |
| 11. Week | The chi-square test | |
| 11. Week | The chi-square test | |
| 12. Week | Analysis of variance | |
| 12. Week | Analysis of variance | |
| 13. Week | Correlation analysis | |
| 13. Week | Correlation analysis | |
| 14. Week | Regression analysis | |
| 14. Week | Regression analysis |
| 4. Statistics, Open Education Faculty Textbooks |
| 5. www.tuik.gov.tr |
| 4. Statistics, Open Education Faculty Textbooks |
| 5. www.tuik.gov.tr |
| Program Requirements | Contribution Level | DK1 | DK2 | DK3 | DK4 | DK5 | DK6 | Measurement Method |
|---|
| 0 | 1 | 2 | 3 | 4 | 5 | |
|---|---|---|---|---|---|---|
| Course's Level of contribution | None | Very Low | Low | Fair | High | Very High |
| Method of assessment/evaluation | Written exam | Oral Exams | Assignment/Project | Laboratory work | Presentation/Seminar |
| Event | Quantity | Duration (Hour) | Total Workload (Hour) |
|---|---|---|---|
| Course Hours | 12 | 3 | 36 |
| Preparation, After Class Study | 12 | 1 | 12 |
| Research | 1 | 5 | 5 |
| Midterm 1 | 1 | 10 | 10 |
| Final | 1 | 15 | 15 |
| Practice | 10 | 1 | 10 |
| Classroom Activities | 12 | 1.5 | 18 |
| Total Workload | 106 | ||
| ECTS Credit of the Course | 4.0 | ||
