| Course Title | Code | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|
| Statistics | ZDF102 | 2. Semester | 3 + 0 | 3.0 | 4.0 |
| Prerequisites | None |
| Language of Instruction | Turkish |
| Course Level | Undergraduate |
| Course Type | |
| Mode of delivery | Face to face and through projections slide, texts and using additional resources such as book |
| Course Coordinator | |
| Instructors |
Canberk BATU |
| Assistants | |
| Goals | Student enables information about the basic statistical concepts and methods and they learn implementation and interpretation of these basic statistical methods. |
| Course Content | Indroduction to statistical analyses, general terms, presentation of data and summarization, identifcate statistics, probability and their distrubitions (binomial, poissonial and normal), statistical comments, hipothesis, analyses of the regression and correlations, analyses of the data. |
| Learning Outcomes |
- Students learn the basic concepts of statistics - Establish statistical estimation and hypothesis - Understand to application of basic statistical methods - Learn to evaluation of statistical outputs |
| Week | Topics | Learning Methods |
|---|---|---|
| 1. Week | Basic terms and definitions | |
| 2. Week | Variable types, frequency distributions, descriptive statistics for example, mode, median, | |
| 3. Week | Change measures, the change range, standard deviation, variance | |
| 4. Week | The theory of probability and chance variables, event, probability, determining the number of events | |
| 5. Week | Discrete chance variables, continuous chance variables | |
| 6. Week | Probability distributions for discrete variables, binomial distributions, Poisson distributions | |
| 7. Week | Uniform distribution, gamma type of probability distributions, Weibull probability distribution, implementation of normal distribution to Binomial distribution | |
| 8. Week | Midterm exam | |
| 9. Week | Statistical interpretation, statistical estimator types, point and interval estimation for the average population | |
| 10. Week | Hypothesis testing, large and small sample tests, t distribution, the comparison of two means | |
| 11. Week | The chi-square distribution, confidence intervals for variance and controls for hypothesis testing, comparison of two variance and F test | |
| 12. Week | The relationship between variables, linear relations, examination of the regression equation | |
| 13. Week | Correlation, the correlation coefficient calculation, control and homogeneity testing | |
| 14. Week | Trial design and analysis, randomized plots and blocks, Latin square design experiment, comparing the averages |
| İkiz F., Püskülcü H., Eren Ş., Inroduction to Statisctic, Barış Publishing, İzmir |
| Kocaçalışkan İ., Bingöl NA., Biostatistic, Nobel Akademik Publishing, Ankara |
| Program Requirements | Contribution Level | DK1 | DK2 | DK3 | DK4 | Measurement Method |
|---|---|---|---|---|---|---|
| PY1 | 4 | 0 | 0 | 0 | 0 | - |
| PY2 | 4 | 0 | 0 | 0 | 0 | - |
| PY3 | 4 | 0 | 0 | 0 | 0 | - |
| PY4 | 4 | 0 | 0 | 0 | 0 | - |
| PY5 | 4 | 0 | 0 | 0 | 0 | - |
| PY6 | 4 | 0 | 0 | 0 | 0 | - |
| PY7 | 3 | 0 | 0 | 0 | 0 | - |
| PY8 | 4 | 0 | 0 | 0 | 0 | - |
| PY9 | 4 | 0 | 0 | 0 | 0 | - |
| PY10 | 4 | 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 | 10 | 1 | 10 |
| Midterm 1 | 1 | 20 | 20 |
| Final | 1 | 30 | 30 |
| Total Workload | 102 | ||
| ECTS Credit of the Course | 4.0 | ||
