| Course Title | Code | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|
| - | BESD629 | 3 + 0 | 3.0 | 7.0 |
| Prerequisite Courses | None |
| Language of Instruction | Turkish |
| Course Level | Graduate |
| Course Type | |
| Mode of delivery | Face to face |
| Course Coordinator | |
| Instructor(s) | |
| Assistants | |
| Goals | The aim of this course is to provide students with the basic concepts of statistics, data organisation, descriptive statistics, distributions, hypothesis testing and application skills in statistical package programmes that will be widely used in sports sciences. |
| Course Content | Basic statistical information to be used in sports sciences in accordance with research techniques, statistical calculations and application with computers are among the subjects of this field. |
| Learning Outcomes |
- Defines the basic concepts of statistical science - Apply statistical approach in the process of producing information in sports sciences - Reveals the relationships between variables - Determine the statistical methods used in different types of research in sport sciences - Makes basic statistical analyses as applied in sports sciences. |
| Week | Topics/Applications | Method |
|---|---|---|
| 1. Week | Definition and concepts of statistics | |
| 2. Week | Frequency distribution, Classification of numerical data | |
| 3. Week | Distributed frequencies | |
| 4. Week | Percentage operations on classified and unclassified data | |
| 5. Week | Graphics | |
| 6. Week | Measures to describe the distribution; mean measures | |
| 7. Week | Measures describing distribution; Measures of prevalence | |
| 8. Week | Mid-term exam | |
| 9. Week | Analysing the relationships between two or more variables with the help of tables and graphs; Dependent-independent variables | |
| 10. Week | Standardisation of Data | |
| 11. Week | Standard error and confidence interval | |
| 12. Week | Hypothesis testing stages and test types (parametric and non-parametric) Comparison of two independent groups (Significance test and Mann-Whitney U test) | |
| 13. Week | Correlation analysis | |
| 14. Week | Regression analysis | |
| 15. Week | Final Exam |
| Baştürk, R. (2010). Nonparametrik İstatistiksel Yöntemler, Anı Yayıncılık, Ankara |
| Alpar, R.(2001) Spor Bilimlerinde Uygulamalı İstatistik, 2. Baskı:Nobel Yayın Dağıtım, Ankara |
| Büyüköztürk, Ş.(2003).Veri Analizi El Kitabı, 3.Baskı: PegemA Yayıncılık, Ankara |
| Sümbüloğlu, K., Sümbüloğlu, V.(2009). Biyoistatistik, Hatipoğlu Yayınevi, Ankara |
| Program Requirements | Contribution Level | DK1 | DK2 | DK3 | DK4 | DK5 | Measurement Method |
|---|---|---|---|---|---|---|---|
| PY3 | 4 | 0 | 0 | 0 | 0 | 0 | 40,60 |
| PY5 | 5 | 0 | 0 | 0 | 0 | 0 | 40,60 |
| 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) |
|---|---|---|---|
| Midterm 1 | 1 | 15 | 15 |
| Homework 1 | 1 | 12 | 12 |
| Homework 2 | 1 | 12 | 12 |
| Final | 1 | 18 | 18 |
| Classroom Activities | 15 | 8.1 | 121.5 |
| Total Workload | 178.5 | ||
| ECTS Credit of the Course | 7.0 | ||
