1 | Course Title: | STATISTICS FOR AGRICULTURAL ECONOMICS |
2 | Course Code: | TEK3729 |
3 | Type of Course: | Compulsory |
4 | Level of Course: | First Cycle |
5 | Year of Study: | 3 |
6 | Semester: | 5 |
7 | ECTS Credits Allocated: | 3 |
8 | Theoretical (hour/week): | 2 |
9 | Practice (hour/week) : | 2 |
10 | Laboratory (hour/week) : | 0 |
11 | Prerequisites: | - |
12 | Recommended optional programme components: | None |
13 | Language: | Turkish |
14 | Mode of Delivery: | Face to face |
15 | Course Coordinator: | Prof. Dr. HASAN VURAL |
16 | Course Lecturers: | Prof.Dr. Serkan GÜRLÜK |
17 | Contactinformation of the Course Coordinator: |
Prof.Dr.Hasan Vural hvural@uludag.edu.tr 2941589 B.U.Ü.Ziraat Fakültesi Tarım Ekonomisi Bölümü |
18 | Website: | |
19 | Objective of the Course: | Application of statistics methods at agricultural economics |
20 | Contribution of the Course to Professional Development | Economic and social problem solving and evaluation competencies are developed. |
21 | Learning Outcomes: |
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22 | Course Content: |
Week | Theoretical | Practical |
1 | Fundamental of statistics and study areas in the agricultural economics | Uses of Excel software in arrangements of data |
2 | Organizing and arranging of data and distribution of frequency | Uses of Excel software in arrangements of data |
3 | Application of central tendency measurements in researches regarding agricultural economics | Introduction to SPSS software and calculation of measurement of central tendency |
4 | Measurement of dispersion and uses in researches regarding agricultural economics | Estimation of dispersion measurements through SPSS statistics software |
5 | Probability theory and normal distribution | Defining of deviations from normal distribution and normalization through SPSS statistics software |
6 | Statistical test distribution and applications in researches regarding agricultural economics (z-test and t-test) | Defining of statistical test distributions through SPSS statistics software |
7 | Statistical test distribution and applications in researches regarding agricultural economics (x2-test and F-test)+ Midterm Exam | Defining of statistical test distributions through SPSS statistics software |
8 | Correlation analysis in researches regarding agricultural economics | Correlation analysis through SPSS statistics software |
9 | Linear regression analysis | Regression analysis through SPSS statistics software |
10 | Linear regression analysis with different functional types that used in researches regarding agricultural economics | Regression analysis in different functional forms through SPSS statistics software |
11 | Statistical time series | Time series analysis through SPSS statistics software |
12 | Defining seasonal and economic trend fluctuations in agricultural economics data | Time series analysis through SPSS statistics software |
13 | Statistical indexes | Data analysis of research data exampes |
14 | Calculation methods of indexes in agricultural economics data | Course Review |
23 | Textbooks, References and/or Other Materials: |
Köksal, B., 1998. İstatistik Analiz Metodları. Çağlayan Kitabevi, İstanbul, 571s. (In Turkish) Vural, H. 2012. Tarım ve Gıda Ekonomisi İstatistiği. Uludağ Üniversitesi Ziraat Fakültesi Ders Notları No: 107. (In Turkish) Kalaycı, Ş. 2006. SPSS Uygulamalı Çok Değişkenli İstatistik Teknikleri, Asil Yayın Dağıtım, Ankara, 425s. (In Turkish) |
24 | Assesment |
TERM LEARNING ACTIVITIES | NUMBER | PERCENT |
Midterm Exam | 1 | 30 |
Quiz | 0 | 0 |
Homeworks, Performances | 1 | 10 |
Final Exam | 1 | 60 |
Total | 3 | 100 |
Contribution of Term (Year) Learning Activities to Success Grade | 40 | |
Contribution of Final Exam to Success Grade | 60 | |
Total | 100 | |
Measurement and Evaluation Techniques Used in the Course | Understanding the subject is measured with written exams and assignments. | |
Information |
25 | ECTS / WORK LOAD TABLE |
Activites | NUMBER | TIME [Hour] | Total WorkLoad [Hour] |
Theoretical | 14 | 2 | 28 |
Practicals/Labs | 14 | 2 | 28 |
Self Study and Preparation | 14 | 2 | 28 |
Homeworks, Performances | 1 | 2 | 2 |
Projects | 0 | 0 | 0 |
Field Studies | 0 | 0 | 0 |
Midtermexams | 1 | 2 | 2 |
Others | 0 | 0 | 0 |
Final Exams | 1 | 2 | 2 |
Total WorkLoad | 92 | ||
Total workload/ 30 hr | 3 | ||
ECTS Credit of the Course | 3 |
26 | CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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LO: Learning Objectives | PQ: Program Qualifications |
Contribution Level: | 1 Very Low | 2 Low | 3 Medium | 4 High | 5 Very High |