Türkçe | English
GRADUATE INSTITUTE of SOCIAL SCIENCES / DEPARTMENT of ECONOMETRICS
Masters With Thesis
Course Catalog
https://www.ktu.edu.tr/sbeekonometri
Phone: +90 0462 +90 462 377 20 22
SBE
GRADUATE INSTITUTE of SOCIAL SCIENCES / DEPARTMENT of ECONOMETRICS / Masters With Thesis
Katalog Ana Sayfa
  Katalog Ana Sayfa  KTÜ Ana Sayfa   Katalog Ana Sayfa
 
 

EKO5690Sampling Methods - II3+0+0ECTS:6
Year / SemesterSpring Semester
Level of CourseSecond Cycle
Status Elective
DepartmentDEPARTMENT of ECONOMETRICS
Prerequisites and co-requisitesNone
Mode of Delivery
Contact Hours14 weeks - 3 hours of lectures per week
LecturerDr. Öğr. Üyesi Hüseyin ÜNAL
Co-Lecturer
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
The aim of this course is to present basic sampling concepts and some sampling methods.
 
Programme OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
PO - 1 : understand the some sampling and estimation methods3,51,
PO - 2 : explain some sampling and estimation methods3,51,
PO - 3 : apply some sampling and estimation methods3,51,
PO - 4 : determine the appropriate sampling method3,51,
PO - 5 : evaluate the estimations.3,51,
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), PO : Learning Outcome

 
Contents of the Course
Systematic Sampling, Cluster Sampling, Three Stage Cluster Sampling, Stratified Cluster Sampling, Ratio Estimation, Surveys.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Systematic Sampling: Description, sample selection procedure, esimator of the population mean
 Week 2Systematic Sampling: Types of population, the variance of the estimated mean and its estimator
 Week 3Simple Cluster Sampling: Description and notations, estimator of the population total
 Week 4Simple Cluster Sampling: Variance of the estimated total and its estimator
 Week 5Simple Cluster Sampling: Estimator of the population mean (cluster sizes and subsample sizes are equal), the variance of the estimated mean and its estimator
 Week 6Simple Cluster Sampling: Comparison of the cluster sampling with simple random sampling, allocation of the sample
 Week 7Simple Cluster Sampling: Estimator of the population mean and total (probabbility proportional to size), the variance of estimated mean and its estimator
 Week 8Mid-term exam
 Week 9Simple Cluster Sampling: Estimator of the population proportion, the variance of estimated proportion and its estimator
 Week 10Three Stage Cluster Sampling: Description and notations, estmator of the population total and mean
 Week 11Three Stage Cluster Sampling: Variance of estimated total and its estimator
 Week 12Stratified Cluster Sampling: Estimator of population total, the variance of population total, allocation of the sample
 Week 13Ratio Estimation: Simple random sampling case
 Week 14Ratio Estimation: Stratified random sampling case
 Week 15Ratio Estimation: Cluster sampling case
 Week 16End-of-term exam
 
Textbook / Material
1Yamane, T. (Çev. Alptekin, E. vd.) 2001; Temel Örkleme Yöntemleri, Literatür Yayıncılık, İstanbul
 
Recommended Reading
1Serper, Ö. Aytaç, M. 2000; Örnekleme, Ezgi Kitabevi, Bursa
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 9 04/2025 1,15 30
Homework/Assignment/Term-paper 12 05/2025 0,50 20
End-of-term exam 16 06/2025 1,15 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 3 14 42
Sınıf dışı çalışma 8 14 112
Arasınav için hazırlık 12 2 24
Arasınav 2 1 2
Ödev 3 2 6
Kısa sınav 1 1 1
Dönem sonu sınavı için hazırlık 12 3 36
Dönem sonu sınavı 2 1 2
Total work load225