| Course Title | Code | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|
| Statistics | YBS156 | 2. Semester | 3 + 0 | 3.0 | 6.0 |
| Prerequisites | None |
| Language of Instruction | Turkish |
| Course Level | Undergraduate |
| Course Type | |
| Mode of delivery | face to face |
| Course Coordinator |
Prof. Dr. Hakan Murat ARSLAN |
| Instructors |
Hakan Murat ARSLAN |
| Assistants | |
| Goals | In the statistics course, the main purpose is to make predictions about the future using numerical data and to understand and interpret the analysis outputs. In the course, in which basic statistics concepts will be taught together with case studies, it is aimed that students will understand statistical methods and acquire the ability to use the appropriate data analysis method. |
| Course Content | Introduction to Statistics and Basic Concepts Frequency Distributions (Histograms, Frequency Polygons) Averages (Arithmetic, Geometric, Squared and Harmonic) Other Measures of Central Tendency (Mode, Median, and Quartiles) Standard Deviation and Mean Deviation (Excel and SPSS Applications) Other Measures of Dispersion (Coefficient of Variation and Adjusted Variance) moments Skewness, Kurtosis and SPSS Applications Permutation and Current Applications Combination and Current Applications Probability Theory and Its Applications in Social Sciences Binomial Distribution and Applications Poisson Distribution and Applications Normal Distribution and SPSS Applications |
| Learning Outcomes |
- Defining the basic data structures in obtaining the necessary information in decision problems and revealing their differences. - To reveal the tools and methods of summarizing and classifying statistical data. - To apply statistical approach in the process of producing information. - Defining the basic concepts of statistics - To be able to statistically analyze decision problems related to social sciences. - To reveal the relationships between the variables in the phenomena.. |
| Week | Topics | Learning Methods |
|---|---|---|
| 1. Week | Introduction to Statistics and Basic Concepts | Research Course Hours |
| 2. Week | Frequency Distributions (Histograms, Frequency Polygons) | |
| 3. Week | Averages (Arithmetic, Geometric, Squared and Harmonic) | Research Course Hours |
| 4. Week | Other Measures of Central Tendency (Mode, Median and Quartiles) | Research Course Hours |
| 5. Week | Standard Deviation and Mean Deviation (Excel and SPSS Applications) | Course Hours Research |
| 6. Week | Other Measures of Spread (Coefficient of Change and Adjusted Variance) | Research Course Hours |
| 7. Week | Moments | Research Course Hours |
| 8. Week | Skewness, Kurtosis and SPSS Applications | Research Course Hours |
| 9. Week | Permutation and Current Applications | Research Course Hours |
| 10. Week | Combination and Current Applications | Research Course Hours |
| 11. Week | Probability Theory and Applications in Social Sciences | Course Hours Research |
| 12. Week | Binomial Distribution and Applications | Research Course Hours |
| 13. Week | Poisson Distribution and Applications | Research Course Hours |
| 14. Week | Normal Distribution and SPSS Applications | Research Course Hours |
| İşletme İstatistiğinin Temelleri, Bowerman O’ Connel (Çev. Neyran Orhunbilge), Nobel, Ankara, (2013). |
| Bowerman O’ Connel (Çev. Neyran Orhunbilge) (2013), İşletme İstatistiğinin Temelleri, Nobel, Ankara |
| David M. Levine, Patricia P. Ramsey, Robert K. Smidt (2001). Applied Statistics, Prentice Hall |
| Moore DS. (2003). The Basic Practice of Statistics, 3rd. Edition |
| Document | istatistik ders notları |
| Program Requirements | Contribution Level | DK1 | DK2 | DK3 | DK4 | DK5 | DK6 | Measurement Method |
|---|---|---|---|---|---|---|---|---|
| PY1 | 4 | 4 | 3 | 4 | 4 | 4 | 3 | 60 |
| PY2 | 4 | 3 | 4 | 4 | 3 | 4 | 3 | 60 |
| PY3 | 4 | 5 | 4 | 4 | 5 | 3 | 3 | 60 |
| PY4 | 4 | 5 | 4 | 4 | 5 | 3 | 3 | 60 |
| PY5 | 4 | 5 | 4 | 4 | 4 | 4 | 3 | 60 |
| PY6 | 4 | 3 | 4 | 4 | 5 | 3 | 3 | 60 |
| PY7 | 4 | 3 | 4 | 4 | 4 | 4 | 3 | 60 |
| PY8 | 4 | 4 | 5 | 4 | 5 | 4 | 4 | 60 |
| PY9 | 4 | 3 | 4 | 3 | 4 | 4 | 4 | 60 |
| PY10 | 3 | 3 | 3 | 3 | 4 | 3 | 3 | 60 |
| PY11 | 4 | 5 | 4 | 4 | 3 | 4 | 4 | 60 |
| PY12 | 4 | 4 | 4 | 4 | 4 | 3 | 4 | 60 |
| PY13 | 4 | 4 | 3 | 4 | 3 | 4 | 4 | 60 |
| PY14 | 3 | 3 | 4 | 2 | 3 | 4 | 3 | 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) |
|---|---|---|---|
| Course Hours | 14 | 3 | 42 |
| Research | 7 | 3 | 21 |
| Other Activities | 14 | 2 | 28 |
| Midterm 1 | 1 | 1 | 1 |
| Homework 1 | 1 | 30 | 30 |
| Homework 2 | 1 | 30 | 30 |
| Final | 1 | 1 | 1 |
| Total Workload | 153 | ||
| ECTS Credit of the Course | 6.0 | ||
