| Teaching Staff
|
Prof. Dr. Cenap ERDEMİR |
| Language of Instruction |
Türkçe (Turkish) |
| Type Of Course |
Compulsory |
| Prerequisites |
|
| Recommended Optional Programme Component |
|
| Course Objectives |
The aim of this course is to give student fundamental statistical concepts and to introduce descritive and inferential statictical methods. |
| Course Content |
Fundemental statistical definition and concepts.
Visual and numerical description of data. Fundemental probability concepts.
Discrete and continuous probability distributions. Sampling distributions.
Hypothesis testing with one sample and two samples:
Mean and ration tests. Correlation tests. Test of independency.
|
| Learning Outcomes (LO) |
1. Bir veri kümesini görsel ve sayısal olarak betimleyebilir. Students can describe a data set using visiual and numerical methods.
2. Olasılık temel tanımlarını ve olasılık dağılımlarını güncel yaşamda gözlemleyebilir ve olasılık hesapları yapabilir. Student can observe probability distrubition and calculate the probability of some evets in dailly life.
3. Verinin geldiği kitlenin ortalaması ve oranları hakkında hipotezler ileri sürebilir ve test edebilir.
4. İki veri kümesinin geldiği kitlelerin ortalamaları ve oranları hakkında hipotezler ileri sürebilir ve bunları test edebilir.
5. İki veri kümesinin geldiği kitlelerin bağımsız olduğu ya da bunlar arasında ilişki olduğuna dair hipotezleri ileri sürebilir ve bu hipotezleri test edebilir. |
| Mode of Delivery |
Face to face |
| Course Outline |
| Week |
Topics |
| 1. Week |
Basic concepts of statisitcs |
| 2. Week |
Statistical data and frequency distributions |
| 3. Week |
Visual decription of data: Tables and charts |
| 4. Week |
Numerical description of data: Measures of variablity and positon
|
| 5. Week |
Other numerical description of data: Measures of variablity and correlation measure
|
| 6. Week |
Basic concepts of probability |
| 7. Week |
Basic concepts of probability |
| 8. Week |
MIDTERM |
| 9. Week |
Discrete probability didtributions: Bernoulli, binom and Poisson distributions. |
| 10. Week |
Continuous probability distributions: Normal and exponential distributions |
| 11. Week |
Sampling distributions. |
| 12. Week |
Hypothesis testing with one sample:Testing for the mean and proportion tests |
| 13. Week |
Hypothesis concepts and types of error |
| 14. Week |
Hypothesis tests of correlatin and independency |
|
| Assessment |
| |
Percentage(%) |
| Mid-term (%) |
30 |
| Quizes (%) |
|
| Homeworks/Term papers (%) |
|
| Practice (%) |
20 |
| Labs (%) |
10 |
| Projects/Field Work (%) |
|
| Seminars/Workshops (%) |
|
| Final (%) |
40 |
| Other (%) |
|
| Total(%) |
100 |
|
| Course Book (s) and/or References |
Paul Newbold, William L. Carlson, Betty M. Thorn: Statistics for Business and Economics. Pearson, 2013.
Bluman, Allan, G., Elementary Statistics A Step by Step Approach, Mc Graw Hill, 2012 |
| Work Placement(s) |
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| The Relationship between Program Qualifications (PQ) and Course Learning Outcomes (LO) |
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PO13 | PO14 | LO1 | 2 | 5 | 3 | 5 | | | | 3 | | 4 | 4 | | 4 | | LO2 | 3 | 4 | | 4 | | | | 3 | | 4 | 4 | | 4 | | LO3 | 3 | 3 | | 3 | | | | 3 | | 3 | 3 | | 3 | | LO4 | 3 | 2 | | 3 | | | | 3 | | 2 | 2 | | 2 | | LO5 | 3 | 3 | | 3 | | | | 3 | | 3 | 3 | | 3 | | | | | | | | | | | | | | | | |
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |