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| OREN2031 | Statistics | 3+1+0 | ECTS:5 | | Year / Semester | Fall Semester | | Level of Course | First Cycle | | Status | Compulsory | | Department | DEPARTMENT of FOREST INDUSTRY ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face | | Contact Hours | 14 weeks - 3 hours of lectures and 1 hour of practicals per week | | Lecturer | Doç. Dr. İbrahim YILDIRIM | | Co-Lecturer | | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | To teach students basic statistical skills and find solutions in relaiton to a number of statistical promlems in forestry and other sciences |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | Identify and explain the basic statistical concepts | 1,2,5 | | | LO - 2 : | Implement some statistical analysis in relation to data | 1,2,5 | | | LO - 3 : | Compare the statistically independent data sets | 1,2,5 | | | LO - 4 : | Apply and analyze single-variable parametric and non-parametric tests | 1,2,5 | | | LO - 5 : | Formularize statistically a real problem and solve and analyze it | 1,2,5 | | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome | | |
| Definition of statistics, basic concepts of statistical significance and statistical data, and frequency distributions, averages, dispersion and propagation measurements, theoretical distributions, sampling techniques, parametric and non-parametric significance tests, analysis of variance, correlation and regression analysis, planning and test pattern to try creation |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Introduction to statistics | | | Week 2 | Classification of data | | | Week 3 | Central tendency measures (Arithmetic mean, geometric mean, mode and median) | | | Week 4 | Variance, standard deviation, standard error of mean, percent error, coefficient of variation | | | Week 5 | Sampling Techniques | | | Week 6 | Hypothesis Tests (One-sample t-test,Independent-samples t-test)and SPSS application | | | Week 7 | Hypothesis Tests (Paired-samples t-test) and SPSS application | | | Week 8 | Chi-Squre Tests (Independence and homogenity tests)and SPSS application | | | Week 9 | Mid-term exam | | | Week 10 | Appropriateness to normal distribution and SPSS application | | | Week 11 | One-way anova and SPSS application | | | Week 12 | Multi-way anova and SPSS application | | | Week 13 | Correlation analysis, Regression analysis and SPSS application | | | Week 14 | Presentation of Homework | | | Week 15 | Presentation of Homework | | | Week 16 | End-of-term exam | | | |
| 1 | Uygulamalı İstatistik Yöntemler, Batu, F., KTÜ, Orman Fakültesi, Fakülte Yayın No: 22, Trabzon, 1995. | | | |
| 1 | Bilimsel Araştırmalarda İstatistik, Ercan, M., Orman Bakanlığı, Kavak ve Hız. Gel. Tür Orm. Ağç. Araş. Ens. Müd., Yayın No: 211, İzmit 1997. | | | 2 | Bilimsel Araştırma Metotları ve Uygulamalı İstatistik, Türkbal, A., Atatürk Üniv. Yay. No: 640, Erzurum, 1987. | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 26/11/2023 | 1,5 | 25 | | Homework/Assignment/Term-paper | 14 | 05/01/2024 | 2 | 25 | | End-of-term exam | 16 | 16/01/2024 | 1,5 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 4 | 14 | 56 | | Sınıf dışı çalışma | 4 | 14 | 56 | | Arasınav için hazırlık | 8 | 3 | 24 | | Arasınav | 1 | 1 | 1 | | Uygulama | 1 | 14 | 14 | | Dönem sonu sınavı için hazırlık | 6 | 5 | 30 | | Dönem sonu sınavı | 1 | 1 | 1 | | Total work load | | | 182 |
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