| Course Title | Code | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|
| Statistics II | İKT206 | 4. Semester | 3 + 0 | 3.0 | 5.0 |
| Prerequisites | None |
| Language of Instruction | Turkish |
| Course Level | Undergraduate |
| Course Type | |
| Mode of delivery | Face to face |
| Course Coordinator |
Lect. Nilay KOYUNCU YEMENİCİ |
| Instructors |
Nilay KOYUNCU YEMENİCİ |
| Assistants | |
| Goals | The statistics course targets to help students to make prudential plans via interpreting numerical data. In the course that various statistical methods such as descriptive, interrogative data analysis, sampling, regression and variance analysis are taught with case studies, students are aimed to comprehend the basics of statistical methods and to gain the ability to chose and use the data analyzing methods appropriate to the situation. |
| Course Content | Sampling methods, confidence intervals for parameters, hypothesis testing, chi-square test, regression, correlation and time series analysis |
| Learning Outcomes |
- Students can apply regression and korelation analysis. - Stedents can apply the process of generating and testing hypothesis. - Students gain experience of analyzing numerical data with statistical methods. |
| Week | Topics | Learning Methods |
|---|---|---|
| 1. Week | Sampling theory | |
| 2. Week | Sampling distributions | |
| 3. Week | Statistical estimation | |
| 4. Week | Hypothesis testing | |
| 5. Week | Hypothesis testing | |
| 6. Week | Student's T Distribution 1 | |
| 7. Week | Student's T Distribution 2 | |
| 8. Week | MIDTERM EXAM | |
| 9. Week | Chi-square dstribution | |
| 10. Week | Chi-square testing | |
| 11. Week | Regression and correlation analysis 1 | |
| 12. Week | Regression and correlation analysis 2 | |
| 13. Week | Time series analysis | |
| 14. Week | Indexes |
| • Bruce L. Bowerman, Richard T. O’Connell, Emily S. Murphree, James B. Orris, Essentials of Business Statistics, 9786051333687 |
| Paul Newbold, Statistics for Business and Economics, Prentice Hall |
| Sheldon M. ross, Introduction to Probability and statistics |
| John E. Freund, statistics |
| Program Requirements | Contribution Level | DK1 | DK2 | DK3 | Measurement Method |
|---|---|---|---|---|---|
| PY1 | 1 | 0 | 0 | 0 | - |
| PY2 | 2 | 0 | 0 | 0 | - |
| PY3 | 1 | 0 | 0 | 0 | - |
| PY4 | 1 | 0 | 0 | 0 | - |
| PY5 | 5 | 0 | 0 | 0 | - |
| PY6 | 2 | 0 | 0 | 0 | - |
| PY7 | 1 | 0 | 0 | 0 | - |
| PY8 | 5 | 0 | 0 | 0 | - |
| PY9 | 1 | 0 | 0 | 0 | - |
| PY10 | 1 | 0 | 0 | 0 | - |
| PY11 | 1 | 0 | 0 | 0 | - |
| PY12 | 4 | 0 | 0 | 0 | - |
| PY13 | 3 | 0 | 0 | 0 | - |
| PY14 | 1 | 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) |
|---|---|---|---|
| Midterm 1 | 1 | 20 | 20 |
| Homework 1 | 1 | 20 | 20 |
| Homework 2 | 1 | 15.5 | 15.5 |
| Final | 1 | 30 | 30 |
| Classroom Activities | 14 | 3 | 42 |
| Total Workload | 127.5 | ||
| ECTS Credit of the Course | 5.0 | ||
