Course Information

Course Information
Course Title Code Semester L+U Hour Credits ECTS
statistics ORT2180 2. Semester 2 + 1 3.0 4.0
Prerequisites None
Language of Instruction Turkish
Course Level Associate
Course Type
Mode of delivery Face to face
Course Coordinator Lect. Dr. Ali Said KABAKCI
Instructor(s) Ali Said KABAKCI
Assistants
Goals Teach students basic concepts and techniques of statistics, introduce statistics make them lare it, provide critical thinking with the help of statistical concepts.
Course Content The basic concepts of statistics, classification of data, the central tendency and dispersion, methods of statistical estimation, hypothesis testing, analysis of variance, correlation and regression.
Learning Outcomes - To recognize and learn the basic terms and concepts related to statistics.
- Data collection, classification and presentation ability
- To determine and apply the most appropriate statistical technique / techniques to apply setting.
- Be able to predict and interpret statistically
- Be able to analyze the problems encountered in working life
- To understand the role of analysis of statistical data in administrative decision-making.
Weekly Topics (Content)
Week Topics Learning Methods
1. Week General Definition Of Statistics, History And General Concepts. Practice Verbal Expression Visual Presentation
2. Week Statistical data collection and classification. Verbal Expression Visual Presentation Practice
3. Week Central Tendency And Distribution Measure Verbal Expression Visual Presentation Practice
4. Week Central Tendency And Distribution Measure (Continued) Practice Visual Presentation Verbal Expression
5. Week Probability Theory Practice Visual Presentation Verbal Expression
6. Week Theoretical distributions Verbal Expression Visual Presentation Practice
7. Week Sampling distribution Visual Presentation Verbal Expression Practice
8. Week Midterm Exam Verbal Expression Visual Presentation Practice
9. Week Statistical estimation Practice Verbal Expression Visual Presentation
10. Week Hypothesis testing Verbal Expression Visual Presentation Practice
11. Week The chi-square test Practice Verbal Expression Visual Presentation
12. Week Analysis of variance Verbal Expression Visual Presentation Practice
13. Week Correlation analysis Practice Verbal Expression Visual Presentation
14. Week Regression analysis Visual Presentation Practice Verbal Expression
Recommended Sources
4. Statistics, Open Education Faculty Textbooks
5. www.tuik.gov.tr
Relations with Education Attainment Program Course Competencies
Program Requirements Contribution Level DK1 DK2 DK3 DK4 DK5 DK6 Measurement Method
*DK = Course's Contrubution.
0 1 2 3 4 5
Course's Level of contribution None Very Low Low Fair High Very High
Method of assessment/evaluation Written exam Oral Exams Assignment/Project Laboratory work Presentation/Seminar
ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Hours 14 2 28
Preparation, After Class Study 14 2 28
Research 14 2 28
Other Activities 11 1.5 16.5
Practice 11 1 11
Midterm 1 1 1 1
Final 1 1 1
Classroom Activities 14 1 14
Total Workload 127.5
ECTS Credit of the Course 4.0