| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Statistics | EPO205 | Compulsory | Master's degree | 1 | Spring | 8 |
Name of Lecturer(s)
Assistant Prof. Dr. İsmet ŞAHİN
Learning Outcomes of the Course Unit
1) Define basic statistical concepts
2) Calculate descriptive statistics
3) Comprehend the appropriate types of statistics.
4) List variables and variable types.
5) List scales and scale types
6) Tabulate dat and display them using graphs.
Program Competencies-Learning Outcomes Relation
| Program Competencies | |||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | ||
| Learning Outcomes | |||||||||||||
| 1 | No relation | No relation | No relation | No relation | No relation | No relation | Middle | No relation | High | No relation | No relation | No relation | |
| 2 | No relation | No relation | No relation | No relation | No relation | No relation | Middle | No relation | High | No relation | No relation | No relation | |
| 3 | No relation | No relation | No relation | No relation | No relation | No relation | Middle | No relation | High | No relation | No relation | No relation | |
| 4 | No relation | No relation | No relation | No relation | No relation | No relation | Middle | No relation | High | No relation | No relation | No relation | |
| 5 | No relation | No relation | No relation | No relation | No relation | No relation | Middle | No relation | High | No relation | No relation | No relation | |
| 6 | No relation | No relation | No relation | No relation | No relation | No relation | Middle | No relation | High | No relation | No relation | No relation | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Not Required
Course Contents
This course equips candidates with in-depth knowledge on statistics, normal distribution curve, descriptive statistic, organisation of data, measures of central tendency, dispersion measures, standard scores, introduction to predictive statistic, T/Z tests, variance analyze, chi-square, correlation analyze, regression and predictive, nonparametric tests, validity, reliability.
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Contribution of Semester Studies to Course Grade |
50% |
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Contribution of Final Examination to Course Grade |
50% |
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Total | 100% | |||||||||||
Language of Instruction
Turkish
Work Placement(s)
Not Required