Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
STATISTICS USHB230 4. Semester 2 + 0 2.0 2.0

Prerequisites None

Language of Instruction Turkish
Course Level Bachelor's Degree
Course Type Compulsory
Mode of delivery
Course Coordinator
Instructors
Assistants
Goals It is aimed to description of statistics and etc.
Course Content Ders içeriğinin tanıtılması ve tanışma Sosyal Bilimlerde İstatistik, İstatistiğe İlişkin Temel Kavramlar Frekans Dağılımlarının Tablo İle Gösterilmesi Frekans Dağılımlarının Grafik İle Gösterilmesi Merkezi Eğilim Ölçüleri Değişkenlik Ölçüleri Olasılık I Olasılık II Standart Normal Dağılım ve Standart Puanlar Korelasyon: İki Değişken Arasındaki İlişkinin Ölçülmesi I Korelasyon: İki Değişken Arasındaki İlişkinin Ölçülmesi II Basit Doğrusal Regresyon Analizi Ortalamalar Arası Farkların Test Edilmesi Ki-Kare Bağımsızlık Testi
Learning Outcomes 1) İmportance of statistics
2) Statistical data
3) Statistical calculation
4) Statistical estimates
5) Statistical investigation

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Description of lesson Lecture; Problem Solving

Problem Based Learning 		Presentation (Including Preparation Time)
2. Week Statistics in social sciences Problem Solving

Problem Based Learning 		Presentation (Including Preparation Time)
3. Week Dispersion of frequencies Problem Solving

Problem Based Learning 		Presentation (Including Preparation Time)
4. Week Dispersion of frequencies Lecture; Problem Solving

Problem Based Learning 		Presentation (Including Preparation Time)
5. Week Central trend meauseres Lecture; Problem Solving

Problem Based Learning 		Presentation (Including Preparation Time)
6. Week Meausures of variation Lecture; Problem Solving

Problem Based Learning 		Presentation (Including Preparation Time)
7. Week Probability Lecture; Problem Solving

Problem Based Learning 		Presentation (Including Preparation Time)
8. Week Midterm Lecture; Problem Solving

Problem Based Learning 		Presentation (Including Preparation Time)
9. Week Standart normal dispersion Lecture; Problem Solving

Problem Based Learning 		Presentation (Including Preparation Time)
10. Week Correlation Lecture; Problem Solving

Problem Based Learning 		Presentation (Including Preparation Time)
11. Week Correlation Lecture; Problem Solving

Problem Based Learning 		Presentation (Including Preparation Time)
12. Week Analysis of simple lineer regression Lecture; Problem Solving

Problem Based Learning 		Presentation (Including Preparation Time)
13. Week Differences of means Lecture; Problem Solving

Problem Based Learning 		Presentation (Including Preparation Time)
14. Week Ki-Kare Test Lecture; Problem Solving

Problem Based Learning 		Presentation (Including Preparation Time)

Sources Used in This Course
Recommended Sources
Büyüköztürk, Ş., Bökeoğlu Ö.Ç., Köklü, N. (2009). "Sosyal Bilimler İçin İstatistik". Pegem Akademi, Ankara
Çi, B. (2008). "İstatistik". Detay Yayıncılık, Ankara
Yüzer, A.F (edt.) (2004). "İstatistik". TC. Anadolu Üniversitesi Yayını No: 1448, Anadolu Üniversitesi, Eskişehir

Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3DK4DK5
PY1500000
PY2500000
PY3500000
PY4500000

*DK = Course's Contrubution.
0 1 2 3 4 5
Level of contribution None Very Low Low Fair High Very High
.

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 14 3
Work Hour outside Classroom (Preparation, strengthening) 14 3
Midterm Exam 1 10
Time to prepare for Midterm Exam 1 10
Final Exam 1 10
Time to prepare for Final Exam 1 10
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
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Course Information
  • Course Information
  • Weekly Topics (Content)
  • Sources Used in This Course
  • Relations with Education Attainment Program Course Competencies
  • ECTS credits and course workload