| Teaching Staff
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|
| Language of Instruction |
Türkçe (Turkish) |
| Type Of Course |
Compulsory |
| Prerequisites |
None |
| Recommended Optional Programme Component |
|
| Course Objectives |
Course aims to introduce descriptive statistics and probability theory. |
| Course Content |
Descriptive statistics, probability theory, various distributions, sampling distribution, hypothesis. |
| Learning Outcomes (LO) |
Upon successful completion of the course, students will be able to use and apply descriptive statistics and probability theory. |
| Mode of Delivery |
Face to face |
| Course Outline |
| Week |
Topics |
| 1. Week |
Introduction, basic concepts, measurement levels of variables |
| 2. Week |
Statistical data and frequency distributions |
| 3. Week |
Figures/Graphs |
| 4. Week |
Measures of central tendency |
| 5. Week |
Measures of distribution |
| 6. Week |
Basic concepts of probability |
| 7. Week |
Expected Value and Variance of Random Variables |
| 8. Week |
Bernoulli and binomial distributions |
| 9. Week |
Poisson distribution |
| 10. Week |
Normal distribution |
| 11. Week |
Application of normal distribution |
| 12. Week |
Sampling distribution, central limit theorem |
| 13. Week |
Hypothesis concepts and types of error |
| 14. Week |
Hypothesis testes related to mean |
|
| Assessment |
| |
Percentage(%) |
| Mid-term (%) |
40 |
| Quizes (%) |
|
| Homeworks/Term papers (%) |
|
| Practice (%) |
|
| Labs (%) |
|
| Projects/Field Work (%) |
|
| Seminars/Workshops (%) |
|
| Final (%) |
60 |
| Other (%) |
|
| Total(%) |
100 |
|
| Course Book (s) and/or References |
Ünver, Ö., Gamgam H., 2008, Uygulamalı Temel İstatistik Yöntemler, Seçkin, Ankara.
Bluman, Allan, G., 2004, Elementary Statistics, Mc Graw Hill |
| Work Placement(s) |
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| The Relationship between Program Qualifications (PQ) and Course Learning Outcomes (LO) |
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