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ORM1001 | Basic Statistical Methods | 3+0+0 | ECTS:5 | Year / Semester | Fall Semester | Level of Course | First Cycle | Status | Elective | Department | DEPARTMENT of FOREST ENGINEERING | Prerequisites and co-requisites | None | Mode of Delivery | Face to face | Contact Hours | 14 weeks - 3 hours of lectures per week | Lecturer | Arş. Gör. Yeşim AKBAŞ | Co-Lecturer | Yrd. Doç. Dr. Tolga BERBER | Language of instruction | Turkish | Professional practise ( internship ) | None | | The aim of the course: | The aims of the course are basic statistical concepts and testing methods, made of how to analyze the data obtained from studies and explain how to interpret analysis results. |
Learning Outcomes | CTPO | TOA | Upon successful completion of the course, the students will be able to : | | | LO - 1 : | make the definition of basic concepts of statistics. | 1,2,4,5 | | LO - 2 : | measure of central tendency and variability. | 1,2,4,5 | | LO - 3 : | identify the sample point of an experiment. | 1,2,4,5 | | LO - 4 : | calculate conditional probabilities. | 1,2,4,5 | | LO - 5 : | define the concept of random variables. | 1,2,4,5 | | LO - 6 : | explain the concept of continuous random variables. | 1,2,4,5 | | 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 | |
Introduction to statistics, basic concepts, data submission and summarizing, Descriptive statistics, relations between variables (correlation and regression analysis), classical distributions (binomial, Poisson and normal), sampling distributions and hypothesis testing (Z-test, t-test), |
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Course Syllabus | Week | Subject | Related Notes / Files | Week 1 | Basic Concepts and Series I | | Week 2 | Basic Concepts and Series II | | Week 3 | Central Tendency and Measures of Variability I | | Week 4 | Central Tendency and Measures of Variability II | | Week 5 | Central Tendency and Measures of Variability III | | Week 6 | Probability I | | Week 7 | Probability II | | Week 8 | Probability III | | Week 9 | Midterm Exam | | Week 10 | Discrete Random Variables and Discrete Distributions I | | Week 11 | Discrete Random Variables and Discrete Distributions II | | Week 12 | Continuous Random Variables and Probability Distributions I | | Week 13 | Continuous Random Variables and Probability Distributions II | | Week 14 | Continuous Random Variables and Probability Distributions III | | Week 15 | Continuous Random Variables and Probability Distributions IV | | Week 16 | Final Exam | | |
1 | SPSS Uygulamalı Temel İstatistik Yöntemler. Özkan Ünver, Hamza Gamgam, Bülent Altunkaynak. Seçkin Yayınları. | | |
1 | Olasılık ve İstatistik. Semra Oral Erbaş. Gazi Kitabevi. | | 2 | Olasılık ve İstatistik. Fikri Akdeniz. Nobel Kitabevi. | | 3 | Bilimsel Araştırmalarda Kullanılan Temel İstatistik Yöntemler ve SPSS Uygulamaları. Nevin Uzgören. Ekin Basın Yayın Dağıtım. | | |
Method of Assessment | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | Mid-term exam | 9 | 18.11.2018 | 1,5 | 50 | End-of-term exam | 16 | 13/01/2018 | 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 | 3 | 14 | 42 | Sınıf dışı çalışma | 3 | 14 | 42 | Arasınav için hazırlık | 12 | 1 | 12 | Arasınav | 1 | 1 | 1 | Dönem sonu sınavı için hazırlık | 15 | 1 | 15 | Dönem sonu sınavı | 2 | 1 | 2 | Total work load | | | 114 |
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