Information Package / Course Catalogue
Statistics in Agriculture and Biology
Course Code: ZZO508
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 2
Credit: 3
Lab: 0
ECTS: 8
Objectives of the Course

Statistical analysis of observational and research data from agriculture and biology using SPSS statistical software

Course Content

Data organization and factors, calculation of descriptive statistics, use of SPSS statistical software, simple and multiple regression analysis, analysis of variance for completely randomize design, block design, latin square and split plot designs

Name of Lecturer(s)
Prof. Kadir KIZILKAYA
Learning Outcomes
1.Earning fundamental knowledge about application of statistics
2.Learning how to use SPSS statistical software
3.Experimental designs in agricultural research
4.Earning experiences about making experimental designs and conducting experiments
5.Earning expeiences about collecting, organizing data for statistical analrysis
6.Earning experiences about analyzing research data
7.Earning experiences about interpreting statistical results and making decision for future plans
Recommended or Required Reading
1.Düzgüneş, O., Kesici, T., Kavuncu, O., ve Gürbüz, F. 1987. Araştırma ve Deneme Metotları. AÜ Ziraat Fakültesi yayınları: 1021, Ankara
2.Neter, J., Kutner, M.H., Nachtsheim, C.J. and Wasserman, W. 1996. Applied Linear Statistical Models, Irwin, USA.
3.Kuehl, R.O. 2000. Design of experiment: Statistical principles of research design and analysis. Duxbury press, USA
4.Rao, P.V. 1998. Statistical research methods ın the life sciences. Duxbury press, USA.
Weekly Detailed Course Contents
Week 1 - Theoretical & Practice
Introduction to statistics, notations and definitions
Week 2 - Theoretical & Practice
SPSS statistical software
Week 3 - Theoretical & Practice
Entering data and data organizations
Week 4 - Theoretical & Practice
Graphics from SPSS
Week 5 - Theoretical & Practice
Transformations of data
Week 6 - Theoretical & Practice
Correlations and regression analysis
Week 7 - Theoretical & Practice
Multiple regression analysis
Week 8 - Theoretical & Practice
Completely randomize design
Week 9 - Theoretical & Practice
Completely randomize design
Week 10 - Theoretical & Practice
One-way Analysis of Variance
Week 11 - Theoretical & Practice
Analysis of variance with multiple factors
Week 12 - Theoretical & Practice
Completely randomize design
Week 13 - Theoretical & Practice
Analysis of latin square
Week 14 - Theoretical & Practice
Analysis of Split plot design
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%30
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142256
Lecture - Practice142256
Assignment74242
Midterm Examination120222
Final Examination122224
TOTAL WORKLOAD (hours)200
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
OÇ-1
3
4
5
4
5
4
OÇ-2
3
4
5
4
4
4
OÇ-3
3
4
5
4
4
4
OÇ-4
4
5
5
5
4
4
OÇ-5
4
5
5
5
4
5
OÇ-6
4
5
5
5
4
4
OÇ-7
3
4
5
5
5
5
Adnan Menderes University - Information Package / Course Catalogue
2026