| Course Title | Code | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|
| Statistics | MTÖ305 | 5. Semester | 2 + 0 | 2.0 | 2.0 |
| Prerequisites | None |
| Language of Instruction | Turkish |
| Course Level | Undergraduate |
| Course Type | |
| Mode of delivery | Distance Education |
| Course Coordinator |
Assoc. Prof. Dr. EMİNE NUR ÜNVEREN BİLGİÇ |
| Instructor(s) |
Duygu ARABACI |
| Assistants | |
| Goals | The main aim of the course is to enable students to learn and interpret descriptive statistics, frequency distributions and graphs, central tendency measures, variability measures, probability, probability distributions, z-score, confidence intervals and hypothesis tests, which are the basic topics in statistics. |
| Course Content | Sample, organization and analysis of data; sampling distribution and estimation; confidence interval concept; interval estimation for difference of two population means, interval estimation for ratio of two population variances, interval estimation for binomial parameter p; hypothesis testing, correlation and regression. |
| Learning Outcomes |
- Distinguish between descriptive and inferential statistics. - Define basic statistical concepts (data, variable, sample, etc.) - Distinguish various variables (continuous, discrete, etc.) from each other, - Expressing frequency distributions and graphics in various ways - Ability to calculate central trend measures - Understand the normal distribution and z-score relationship - Ability to calculate probability using basic probability rules |
| Week | Topics | Learning Methods |
|---|---|---|
| 1. Week | Introduction to Statistics and Basic Statistical Concepts | Verbal Expression Course Hours |
| 2. Week | Measurement, Scales, Data Sources, Data Collection Techniques, Data Organization | Course Hours Verbal Expression |
| 3. Week | Frequency (Frequency) Distributions and Graphical Representations (qualitative, quantitative frequency distributions and graphical representation) | Course Hours Verbal Expression |
| 4. Week | Central Tendency Measures | Course Hours Verbal Expression |
| 5. Week | Measures of Variability | Course Hours Verbal Expression |
| 6. Week | Inclination and Curvature Measures | Course Hours Verbal Expression |
| 7. Week | Possibility | Course Hours Verbal Expression |
| 8. Week | Midterm | |
| 9. Week | Probability Distributions | Course Hours Verbal Expression |
| 10. Week | z-Score, Confidence Intervals I z-Score, Confidence Intervals II | Course Hours Verbal Expression |
| 11. Week | z-Score, Confidence Intervals II | Course Hours Verbal Expression |
| 12. Week | Decision Theory and Hypothesis I (Significance Level and Type I, II. Errors) | Course Hours Verbal Expression |
| 13. Week | Decision Theory and Hypothesis II (Significance Level and Type I, II. Errors) | Course Hours Verbal Expression |
| 14. Week | Decision Theory and Hypothesis II (Significance Level and Type I, II. Errors) | Verbal Expression Course Hours |
| Spss Uygulamalı ve Amos Uygulamalı İstatistiksel Analiz, KARAGÖZ Yalçın , Nobel yayıncılık, Ankara(2016). |
| Lecture Notes |
| Program Requirements | Contribution Level | DK1 | DK2 | DK3 | DK4 | DK5 | DK6 | DK7 | Measurement Method |
|---|---|---|---|---|---|---|---|---|---|
| PY1 | 4 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | - |
| 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 | 2 | 28 |
| Preparation, After Class Study | 14 | 1 | 14 |
| Midterm 1 | 1 | 2 | 2 |
| Homework 1 | 1 | 5 | 5 |
| Final | 1 | 2 | 2 |
| Total Workload | 51 | ||
| ECTS Credit of the Course | 2.0 | ||
