| Teaching Staff
|
EKLENECEK |
| Language of Instruction |
Türkçe (Turkish) |
| Type Of Course |
Compulsory |
| Prerequisites |
None. |
| Recommended Optional Programme Component |
|
| Course Objectives |
Sampling Distributions, Estimation, Type I and Type II Errors, Interval Estimation, Hypothesis Testing, Neyman Pearson Theorem, Likelihood ratio tests. |
| Course Content |
This course aims at providing students the ability to explain and apply Sampling Distributions, Estimation, Type I and Type II Error, Interval Estimation, Hypothesis Testing, Neyma Pearson Theorem, Likelihood ratio tests. |
| Learning Outcomes (LO) |
To mathematically interpret real world events. |
| Mode of Delivery |
Face to face |
| Course Outline |
| Week |
Topics |
| 1. Week |
Basic Defitinitions and Concepts |
| 2. Week |
Sampling Distributions |
| 3. Week |
Point Estimation |
| 4. Week |
Interval Estimation |
| 5. Week |
Simple & Composite Hypothesis |
| 6. Week |
Tests |
| 7. Week |
Type I and Type II Errors |
| 8. Week |
Power Functions |
| 9. Week |
The Neyman-Pearson Theorem |
| 10. Week |
Mean Tests of Normal Distributions |
| 11. Week |
Variation Tests of Normal Distributions |
| 12. Week |
Likelihood Ratio Test |
| 13. Week |
Goodness of Fit (Chi-Square) Test |
| 14. Week |
Applications |
|
| 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 |
1. John E. Freund., Matematiksel İstatistik (Çeviri: Ümit Şeneşen), Literatür Yayıncılık, 2001.
2. Akdi, Yılmaz., Matematiksel İstatistiğe Giriş, Bıçaklar Kitabevi, 2005.
|
| Work Placement(s) |
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| The Relationship between Program Qualifications (PQ) and Course Learning Outcomes (LO) |
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