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ORM3005Computer Aided Statistics Applications2+0+0ECTS:4
Year / SemesterFall Semester
Level of CourseFirst Cycle
Status Elective
DepartmentDEPARTMENT of FOREST ENGINEERING
Prerequisites and co-requisitesNone
Mode of Delivery
Contact Hours14 weeks - 2 hours of lectures per week
LecturerProf. Dr. Hakkı YAVUZ
Co-LecturerProf.Dr. Hakkı YAVUZ
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
To applicate students basic statistical skills and analysis in computer
 
Learning OutcomesCTPOTOA
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

 
Contents of the Course
Presentation of data, central tendency measures, distribution and dispersion measures, normality tests, compaire means by parametric tests, correlation and regression analysis.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1General introduction of SPSS statistical packet program
 Week 2Entering data to computer and obtaining new data
 Week 3Calculating of central tendency measures in SPSS statistical packet program (aritmethic mean, geometric mean, mode, median)
 Week 4Calculating of varinace, standard deviation, standard error of mean, percent error, coefficinet of variation in SPSS statistical packet program
 Week 5Applications of normal distributions in SPSS statistical packet program
 Week 6Independent t-test, two samples t-test and paired t-test in SPSS statistical packet program
 Week 7Khi-Squre test (Independence Test)in SPSS statistical packet program
 Week 8Khi-Squre test (Homogenity Test)in SPSS statistical packet program
 Week 9Mid-term exam
 Week 10One-Way ANOVA in SPSS statistical packet program
 Week 11Multi-Way ANOVA in SPSS statistical packet program
 Week 12Correlaiton Analysis in SPSS statistical packet program
 Week 13Basic Linear Regression Analysis in SPSS statistical packet program
 Week 14Basic Linear Regression Analysis in SPSS statistical packet program
 Week 15Multiple Regression Analysis in SPSS statistical packet program
 Week 16End-of-term exam
 
Textbook / Material
1Özdamar, K.2009; SPSS ile Biyoistatistik, Kaan Kitabevi, ISBN 9789756787076, Ankara
2Özdamar, K. 2004; Paket Programlar ile İstatistik Veri Analizi 1, Kaan Kitabevi, ISBN 9789755912233, Ankara
 
Recommended Reading
1Dunn, O.J. and V.A.Clark, 1987, Applied Statistics Analysis of Variance and Regression, Wiley, New York
 
Method of Assessment
Type of assessmentWeek NoDate

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 workDuration (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
Laboratuar çalışması 0 0 0
Arasınav için hazırlık 2 8 16
Arasınav 2 1 2
Uygulama 1 15 15
Klinik Uygulama 0 0 0
Ödev 2 3 6
Proje 0 0 0
Kısa sınav 0 0 0
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 load107