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COURSE SYLLABUS
STATISTICS FOR AGRICULTURAL ECONOMICS
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:
1 To be able to explain application areas of statistics in agricultural economics ;
2 To be able to arrange a data set, make meaningful inferences and present data in graphical style ;
3 To be able to make interprets through central tendency measures and dispersion measures ;
4 To be able to test whether a data set belongs to a greater population ;
5 To be able to make inferences about whether variables in two data sets have statistically relationships each other in the agricultural economics researches ;
6 To be able to compute statistical significance and set different functional forms in the agricultural economics researches ;
7 To be able to interpret statistical model results and make policy implications regarding agricultural economics researches ;
8 To be able to analyze time series seen in the agricultural economics and make forecasts ;
9 To be able to use indexes seen in the agricultural economics area ;
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
PQ1 PQ2 PQ3 PQ4 PQ5 PQ6 PQ7 PQ8 PQ9 PQ10 PQ11 PQ12
LO1 0 0 3 3 0 0 0 0 0 0 0 0
LO2 0 0 0 0 0 3 3 0 0 0 0 0
LO3 0 0 0 0 0 2 0 0 0 0 0 0
LO4 0 0 0 0 0 2 2 0 3 0 0 0
LO5 0 0 4 4 0 0 0 0 0 0 0 0
LO6 0 0 5 4 0 0 0 0 0 0 0 0
LO7 0 0 0 0 0 3 5 0 0 0 0 0
LO8 0 0 3 0 0 3 0 0 0 0 0 0
LO9 0 0 0 0 0 0 0 0 0 0 0 0
LO: Learning Objectives PQ: Program Qualifications
Contribution Level: 1 Very Low 2 Low 3 Medium 4 High 5 Very High
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