Course Information

Course Information
Course Title Code Semester L+U Hour Credits ECTS
Statistics İSG2119 2. Semester 3 + 0 3.0 3.0
Prerequisites None
Language of Instruction Turkish
Course Level Associate
Course Type
Mode of delivery Face to face
Course Coordinator
Instructor(s) İrem HORUZ
Assistants
Goals With this course you will gain competencies to make statistical calculations.
Course Content Data collection, analysis, and statistical interpretation of statistical tests will be given detailed information on the subject.
Learning Outcomes - Preparing Data
- Frequency Table Preparation,
- Making Data Analysis
- Evaluation of Analysis
- Statistical interpretation
Weekly Topics (Content)
Week Topics Learning Methods
1. Week Specifying the Method for Data Retrieval Preparation, After Class Study Course Hours
2. Week Specifying the Method for Data Retrieval Course Hours Preparation, After Class Study
3. Week Data Collection Course Hours Preparation, After Class Study
4. Week Data Collection Course Hours Preparation, After Class Study
5. Week Adjusting Frequency Calculation Table Course Hours Preparation, After Class Study
6. Week Adjusting Frequency Calculation Table Course Hours Preparation, After Class Study
7. Week Transferring Data to the Table of Frequency Course Hours Preparation, After Class Study
8. Week Mid-term Exam Course Hours
9. Week Transferring Data to the Table of Frequency Preparation, After Class Study Course Hours
10. Week Make on Numerical Analysis of Data Course Hours Preparation, After Class Study
11. Week Make on Numerical Analysis of Data Preparation, After Class Study Course Hours
12. Week Data of the Boots Graphics Preparation, After Class Study Course Hours
13. Week Data of the Boots Graphics Preparation, After Class Study Course Hours
14. Week Correlation and Regression Calculations do Course Hours Preparation, After Class Study
Recommended Sources
ekrem yıldız, istatistik, Nobel yayınevi
Material Sharing
Document istatistik
Relations with Education Attainment Program Course Competencies
Program Requirements Contribution Level DK1 DK2 DK3 DK4 DK5 Measurement Method
PY6 3 0 0 0 0 0 -
*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 3 42
Preparation, After Class Study 14 1 14
Research 4 2 8
Midterm 1 1 1 1
Homework 1 6 2 12
Final 1 1 1
Total Workload 78
ECTS Credit of the Course 3.0