Information Package / Course Catalogue
Statistical Analysis I
Course Code: ZZO533
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 7
Objectives of the Course

to provide the students fundamental statistical knowledge to analyse observational and research data

Course Content

Statistical terms and notations, data organization, calculation of descriptive statistics, statistical distributions, sampling distributions of statistics and testing of hypothesis, simple and multiple regression analysis, analysis of variance

Name of Lecturer(s)
Learning Outcomes
1.to be able to analyse the statistics and relationships between statistics and other departments
2.to be able to acquire fundamental knowledge about application of statistics
3.to be able to acquire the skills on using at least one statistical package
4.to be able to acquire the skills on collecting, organizing and analyzing data
5.to be able to acquire the skill on interpreting statistical results
6.to be able to gain the ability of decision making for future based on the statistical results
7.to be able to gain the ability to use statistical experiences in others areas
Recommended or Required Reading
1.Mendeş, M. 2012. Statistics and Research Methods for Applied Science. Kriter Yayınları, ISBN 978-605-5863-99-9.
2.Düzgüneş, O.; Kesici, T.; Kavuncu, O.; Gürbüz, F. 1987. Research and Experimental Design. Ankara Üniversitesi Ziraat Fakültesi Yayınları: 1021, Ders Kitabı: 295, Ankara.
3.Yıldız, N.; Bircan, H. 1994. Research and Experimental Design. Atatürk Üniversitesi Yayınları No: 697. Ziraat Fakültesi No: 305, Ders Kitapları Serisi No: 57. Erzurum.
4.Efe, E., Bek, Y. Şahin, M. 2000. Statistical methods II using SPSS. Kahramanmaraş Sütçü İmam Üniversitesi Rektörlüğü Yayın No:10. Kahramanmaraş.
5.R Core Team (2020). R: İstatistik hesaplamaya yönelik bir dil ve ortam. İstatistiksel Hesaplama R Vakfı, Vienna, Austria. URL https://www.R-project.org/.
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to statistics, notations and definitions
Week 2 - Theoretical
Statistical softwares, SPSS or R project
Week 3 - Theoretical
Descriptive statistics (mean, mode and median, variance)
Week 4 - Theoretical
Probability, Statistical distributions, sampling distributions of statistics
Week 5 - Theoretical
Estimations, confidence intervals
Week 6 - Theoretical
Hypothesis Tests (Single group)
Week 7 - Theoretical
Hypothesis Tests (Two groups)
Week 8 - Theoretical
Hypothesis Tests (More than two groups), Analysis of Variance
Week 9 - Theoretical
Randomized Block Design and Latin Square Trial Design
Week 10 - Intermediate Exam
Midterm Exam
Week 11 - Theoretical
Assumptions of analysis of variance and control of assumptions
Week 12 - Theoretical
Multiple Comparison Tests, Orthogonal Contrasts
Week 13 - Theoretical
Factorial Experiments and Interaction
Week 14 - Theoretical
Factorial Experiments and Interaction
Week 15 - Theoretical
Correlation and Simple Regression
Week 16 - Final Exam
Final Exam
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142370
Assignment143270
Midterm Examination115217
Final Examination120222
TOTAL WORKLOAD (hours)179
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
OÇ-1
4
3
2
2
2
OÇ-2
4
3
2
2
2
OÇ-3
4
3
2
2
2
OÇ-4
4
3
2
2
2
OÇ-5
4
3
2
2
2
OÇ-6
4
3
2
2
2
OÇ-7
4
3
2
2
2
Adnan Menderes University - Information Package / Course Catalogue
2026