Teaching Staff
|
Dr. Öğr. Üyesi Aslıhan ERMAN ASLANOĞLU |
Language of Instruction |
Türkçe (Turkish) |
Type Of Course |
Compulsory |
Prerequisites |
None. |
Recommended Optional Programme Component |
|
Course Objectives |
Simple linear regression, T test, variance analysis, and some non-parametric techniques and hypothesis testing which are used during their application, degrees of freedom, confidence interval and errors in decision process |
Course Content |
|
Learning Outcomes (LO) |
At the end of this course, students will be able to
1. knows the basic concepts of descriptive statistics
2. find regression equation for a given data group
3. determine which method should be used according to given problem and data status
4. comment on hypothesis by comparing the obtained values with the critical values given in the tables.
5. comment on the amount and direction of errors in the decisions made.
6. determine the confidence interval and degrees of freedom required for a given statistical analysis.
7. read table values according to given situations |
Mode of Delivery |
Face to face |
Course Outline |
Week |
Topics |
1. Week |
Simple linear regression analysis |
2. Week |
Exercise for the simple linear regression analysis |
3. Week |
Descriptive statistic-Basic concepts |
4. Week |
T-test |
5. Week |
T-test |
6. Week |
Exercise for T-test |
7. Week |
Introduction to analysis of variance and basic concepts |
8. Week |
Analysis of variance |
9. Week |
Execise for analysis of variance |
10. Week |
Chi-Square test |
11. Week |
Exercise for Chi-Square test |
12. Week |
Mann- Whitney U |
13. Week |
Exercise for Mann- Whitney U |
14. Week |
General review |
|
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 |
Büyüköztürk, Ş., Çokluk, Ö. ve Köklü, N. (2009). Sosyal bilimler için istatistik (3.baskı). Ankara: Pegem Yayınları. Arıcı, H. (1993). İstatistik: Yöntemler ve uygulamalar (Geliştirilmiş Yeni Baskı). Ankara |
Work Placement(s) |
|
The Relationship between Program Qualifications (PQ) and Course Learning Outcomes (LO) |
| LO1 | LO2 | LO3 | LO4 | LO5 | LO6 | LO7 | PQ1 | 5 | 2 | 3 | 1 | 2 | 2 | 2 | PQ2 | | | | | | | | PQ3 | | | | | | | | PQ4 | | | | | | | | PQ5 | | | | | | | | PQ6 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | PQ7 | | | | | | | | PQ8 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | PQ9 | | | 4 | | | | | PQ10 | | | | | | | | PQ11 | | | | | | | | PQ12 | | | | | | | | PQ13 | | | 2 | 1 | 1 | 1 | 2 | PQ14 | | | | | | | | PQ15 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | PQ16 | | | | | | | | PQ17 | | | | | | | | PQ18 | | | | | | | | PQ19 | | | | | | | | PQ20 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | PQ21 | | | | | | | | PQ22 | | | | | | | |
* Katkı Düzeyi: 1 Çok düşük 2 Düşük 3 Orta 4 Yüksek 5 Çok yüksek |