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| ORM3005 | Computer Aided Statistics Applications | 2+0+0 | ECTS:4 | | Year / Semester | Fall Semester | | Level of Course | First Cycle | | Status | Elective | | Department | DEPARTMENT of FOREST ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 2 hours of lectures per week | | Lecturer | Prof. Dr. Hakkı YAVUZ | | Co-Lecturer | Prof.Dr. Hakkı YAVUZ | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | To applicate students basic statistical skills and analysis in computer
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| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | define and explain basic statistical rules.
| 1 - 2 - 3 - 5 | | | LO - 2 : | implement some statistical analysis with related data.
| 1 - 2 - 3 - 5 | | | LO - 3 : | compare independent data sets in SPSS statistical packet program
| 1 - 2 - 3 - 5 | | | LO - 4 : | apply univariate parametric and non-parametric tests in SPSS statistical packet program
| 1 - 2 - 3 - 5 | | | LO - 5 : | formularize a real problem and solve it with SPSS statistical package program
| 1 - 2 - 3 - 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 | | |
| Presentation of data, central tendency measures, distribution and dispersion measures, normality tests, compaire means by parametric tests, correlation and regression analysis. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | General introduction of SPSS statistical packet program | | | Week 2 | Entering data to computer and obtaining new data | | | Week 3 | Calculating of central tendency measures in SPSS statistical packet program (aritmethic mean, geometric mean, mode, median) | | | Week 4 | Calculating of varinace, standard deviation, standard error of mean, percent error, coefficinet of variation in SPSS statistical packet program | | | Week 5 | Applications of normal distributions in SPSS statistical packet program | | | Week 6 | Independent t-test, two samples t-test and paired t-test in SPSS statistical packet program | | | Week 7 | Khi-Squre test (Independence Test)in SPSS statistical packet program | | | Week 8 | Khi-Squre test (Homogenity Test)in SPSS statistical packet program | | | Week 9 | Mid-term exam | | | Week 10 | One-Way ANOVA in SPSS statistical packet program | | | Week 11 | Multi-Way ANOVA in SPSS statistical packet program | | | Week 12 | Correlaiton Analysis in SPSS statistical packet program | | | Week 13 | Basic Linear Regression Analysis in SPSS statistical packet program | | | Week 14 | Basic Linear Regression Analysis in SPSS statistical packet program | | | Week 15 | Multiple Regression Analysis in SPSS statistical packet program | | | Week 16 | End-of-term exam | | | |
| 1 | Özdamar, K.2009; SPSS ile Biyoistatistik, Kaan Kitabevi, ISBN 9789756787076, Ankara | | | 2 | Özdamar, K. 2004; Paket Programlar ile İstatistik Veri Analizi 1, Kaan Kitabevi, ISBN 9789755912233, Ankara | | | |
| 1 | Dunn, O.J. and V.A.Clark, 1987, Applied Statistics Analysis of Variance and Regression, Wiley, New York | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 2021 | 1 | 50 | | End-of-term exam | 16 | 2022 | 1 | 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 | 2 | 15 | 30 | | Sınıf dışı çalışma | 2 | 5 | 10 | | Arasınav için hazırlık | 2 | 8 | 16 | | Arasınav | 2 | 1 | 2 | | Uygulama | 1 | 15 | 15 | | Ödev | 2 | 3 | 6 | | Dönem sonu sınavı için hazırlık | 2 | 9 | 18 | | Dönem sonu sınavı | 2 | 1 | 2 | | Diğer 1 | 2 | 2 | 4 | | Diğer 2 | 2 | 2 | 4 | | Total work load | | | 107 |
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