| Teaching Staff
|
Prof. Dr. Selim Hovardaoğlu |
| Language of Instruction |
Türkçe (Turkish) |
| Type Of Course |
Compulsory |
| Prerequisites |
None. |
| Recommended Optional Programme Component |
|
| Course Objectives |
The goal of the course is to focus on the description of statistics and its role in efficacy of science, the properties of descriptive and inferential statistics, measurement and scales of measurement, statistical data, organization of the data, display of the data through tables and graphics, reporting the data, assessment of correlation between variables and prediction based on correlations |
| Course Content |
The content of the course includes descriptive statistics, probability, correlation and regression. Accordingly, the descriptive statistics including frequency distribution, graphic displacement, mode, median, mean, variance, and standart deviation and probability, binomial and normal distributions, techniques of correlation and regression. |
| Learning Outcomes (LO) |
Students completed this course are expected to accomplish the followings:
1- Understanding the importance of statistics in efficacy of science
2- Develop an understanding of the statistical concepts presented in scientific journals
3- Understanding the basic concepts of descriptive statistics and evaluation and usage of it.
4- To be able to describe and summarize the qualitative and quantitative data
5- To be able to fill the gap between the conceptual phenomenon and empirical results
6- To be able to collect, represent, summarize, and evaluate data
|
| Mode of Delivery |
Face to face |
| Course Outline |
| Week |
Topics |
| 1. Week |
Science and statistics |
| 2. Week |
Measurement, scales of measurement, data and variables |
| 3. Week |
Organization of data, frequency distribution, grouping |
| 4. Week |
Organization of tables and graphics |
| 5. Week |
Summarizing the frequency distribution; central tendency measurement |
| 6. Week |
Summarizing the frequency distribution; variance measurement |
| 7. Week |
Probability; Simple and complex events, |
| 8. Week |
Binomial and normal distribution |
| 9. Week |
Normal distribution and Standard scores Binomial and normal distribution |
| 10. Week |
Correlation; Pearson r, partial correlation, and multiple correlation |
| 11. Week |
Correlation; Spearman r ve othe correlation techniques |
| 12. Week |
Regression |
| 13. Week |
Regression |
| 14. Week |
Summary and questions |
|
| Assessment |
| |
Percentage(%) |
| Mid-term (%) |
30 |
| Quizes (%) |
|
| Homeworks/Term papers (%) |
10 |
| Practice (%) |
|
| Labs (%) |
|
| Projects/Field Work (%) |
|
| Seminars/Workshops (%) |
|
| Final (%) |
60 |
| Other (%) |
|
| Total(%) |
100 |
|
| Course Book (s) and/or References |
Büyükoztürk, Ş., Bökeoğlu, Ö.Ç. ve Köklü, N. (2008) Sosyal Bilimler İçin İstatistik. (3 Bsm) Pegem, Ankara.
Levin, J. & Fox, J. A. (2003). Elementary Statistics in Social research. (9th Ed.) Pearson, Boston.
|
| Work Placement(s) |
|
| The Relationship between Program Qualifications (PQ) and Course Learning Outcomes (LO) |
| PQ1 | PQ2 | PQ3 | PQ4 | PQ5 | PQ6 | PQ7 | PQ8 | PQ9 | PQ10 | PQ11 | PQ12 | PQ13 | LO1 | 3 | 2 | | | | | | | | | | | | LO2 | 3 | 2 | | | | | | | | | | | | LO3 | 3 | | 4 | | | | | | | | | | | LO4 | | | | | | | 3 | | | 3 | | | | LO5 | | | 4 | | | | 3 | | | | 3 | | | LO6 | | | | | | 5 | 4 | 3 | | 4 | | | | LO7 | | | | | | | 3 | | | | | 3 | 4 |
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |