| Course Title | Code | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|
| Introduction to Statistics | SHO209 | 3. Semester | 3 + 0 | 3.0 | 3.0 |
| Prerequisites | None |
| Language of Instruction | Turkish |
| Course Level | Undergraduate |
| Course Type | |
| Mode of delivery | Oral presentation and Application |
| Course Coordinator | |
| Instructors |
Şengül CANGÜR |
| Assistants | |
| Goals | Can tell the importance of statistics in social services area and to train students to explain the basic concepts of statistics Who must bear the characteristics of the data, calculate and interpret descriptive statistics, charts and graphs, statistics tests and methods to train students capable of |
| Course Content | Introduction to Statistics, Descriptive Statistics, Tables and Graphs, Normal distribution and speciality, Hypothesis tests and the importance of the definition of the concept of assumption , Simple Random sampling, Analysis of Contingency tables, Correlation analysis , Regression analysis |
| Learning Outcomes |
- To recognize and learn the basic terms and concepts related to statistics - Data collection, classification and presentation ability - To determine and apply the most appropriate statistical technique / techniques to apply setting - Be able to predict and interpret statistically - Be able to analyze the problems encountered in working life - To understand the role of analysis of statistical data in administrative decision-making. |
| Week | Topics | Learning Methods |
|---|---|---|
| 1. Week | General Definition Of Statistics, History And General Concepts. | |
| 2. Week | Statistical Data Editing And Classification To Be | |
| 3. Week | Central Tendency And Distribution Measure | |
| 4. Week | Central Tendency And Distribution Measure (Continued) | |
| 5. Week | Probability Theory | |
| 6. Week | Theoretical distributions | |
| 7. Week | Sampling distribution | |
| 8. Week | Statistical estimation | |
| 9. Week | Statistical estimation (Continued) | |
| 10. Week | Hypothesis testing | |
| 11. Week | The chi-square test | |
| 12. Week | Analysis of variance | |
| 13. Week | Correlation analysis | |
| 14. Week | Regression analysis |
| Lecture slayts (*.ppt) |
| Program Requirements | Contribution Level | DK1 | DK2 | DK3 | DK4 | DK5 | DK6 | Measurement Method |
|---|---|---|---|---|---|---|---|---|
| PY3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | - |
| PY6 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | - |
| PY11 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | - |
| PY12 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | - |
| 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 | 14 | 3 | 42 |
| Preparation, After Class Study | 4 | 2 | 8 |
| Research | 5 | 3 | 15 |
| Midterm 1 | 1 | 1 | 1 |
| Homework 1 | 3 | 3 | 9 |
| Final | 1 | 1 | 1 |
| Total Workload | 76 | ||
| ECTS Credit of the Course | 3.0 | ||
