Course Information

Course Information
Course Title Code Semester L+U Hour Credits ECTS
Statistics BSM102 2. Semester 3 + 0 3.0 4.0
Prerequisites None
Language of Instruction Turkish
Course Level Undergraduate
Course Type
Mode of delivery Face to face
Course Coordinator
Instructors Canberk BATU
Assistants
Goals Teaching of information that will form the basis of statistical issues.
Course Content Statistics, various definitions, sample and population Summarization of data and data Descriptive statistics Linear Correlation and Regression Experiment, event and probability, some probability laws Chance change and expected value Some important intermittent distributions Distributions of continuous variables Distributions of continuous variables Sampling distributions Test distributions, Statistical estimation, population averaging estimation, Estimates of some parameters and confidence intervals, Hypothesis control
Learning Outcomes - Basic knowledge about statistics is accumulated.
- Learnings of statistics, various introductions, sample and population introductions
- Learning of sampling methods
- Computer aided statistical calculation programs are learned practically.
Weekly Topics (Content)
Week Topics Learning Methods
1. Week Statistics, various definitions, sample and population Verbal Expression Visual Presentation
2. Week Summarization of data and data Verbal Expression Visual Presentation
3. Week Descriptive statistics Visual Presentation Verbal Expression
4. Week Linear Correlation and Regression Visual Presentation Verbal Expression
5. Week Experiment, event and probability, some probability laws Visual Presentation Verbal Expression
6. Week Chance change and expected value Verbal Expression Visual Presentation
7. Week Some important intermittent distributions Verbal Expression Visual Presentation
8. Week Midterm Course Hours
9. Week Distributions of continuous variables Visual Presentation Verbal Expression
10. Week Distributions of continuous variables Visual Presentation Verbal Expression
11. Week Sampling distributions Verbal Expression Visual Presentation
12. Week Test distributions, Verbal Expression Visual Presentation
13. Week Statistical estimation, population averaging estimation, Verbal Expression Visual Presentation
14. Week Estimates of some parameters and confidence intervals, Hypothesis control Visual Presentation Verbal Expression
Recommended Sources
1) N. Yıldız, Ö. Akbulut, H. Bircan, İstatistiğe Giriş, , Aktif Yayınevi, Erzurum, 2002. 2) N. Yıldız, H. Bircan, Uygulamalı İstatistik, Atatürk Üniversitesi Ziraat Fakültesi Ofset Tesisi, Erzurum, 1994.
Relations with Education Attainment Program Course Competencies
Program Requirements Contribution Level DK1 DK2 DK3 DK4 Measurement Method
PY1 4 4 4 4 0 40,60
PY2 4 4 4 4 0 40,60
PY3 5 5 5 5 0 40,60
PY4 5 5 5 5 0 40,60
PY5 4 4 4 4 0 40,60
PY6 3 3 3 3 0 40,60
PY7 4 4 4 4 0 40,60
PY8 4 4 4 4 0 40,60
PY9 4 4 4 4 0 40,60
PY10 4 4 4 4 0 40,60
PY11 3 3 3 3 0 40,60
*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)
Midterm 1 1 23 23
Final 1 23 23
Classroom Activities 14 4 56
Total Workload 102
ECTS Credit of the Course 4.0