Eskisehir Technical University Info Package Eskisehir Technical University Info Package
  • Info on the Institution
  • Info on Degree Programmes
  • Info for Students
  • Turkish
    • Turkish Turkish
    • English English
About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Faculty of Science
  • Department of Statistics
  • Course Structure Diagram with Credits
  • Sampling
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title İST335 - Sampling
Course Type Required Courses
Language of Instruction Türkçe
Laboratory + Practice 4+0
ECTS 6.5
Course Instructor(s) DOÇENT DOKTOR KADİR ÖZGÜR PEKER, DOÇENT DOKTOR KADİR ÖZGÜR PEKER
Mode of Delivery The mode of delivery of this course is Face to face.
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended There is no recommended optional programme component for this course.
Recommended Reading List * Çıngı, H. (1994) Örnekleme Kuramı. Ankara:H.Ü. Fen Fakültesi Basımevi.* Cochran, W.G. (1977) Sampling Techniques.* Ağaoğlu, E. (1998) Uygulamalı Örnekleme. Anadolu Üniversitesi Yayınları No: 10-14.* Yamane, T. (2001) Temel Örnekleme Yöntemleri. Literatür Yayınları:53. (Çeviri)* Özmen, A. (2000) Uygulamalı Araştırmalarda Örnekleme Yöntemleri. Eskişehir: Anadolu Üniversitesi Fen Fakültesi Yayınları, No.17.
Assessment methods and criteria 2 Mid-term and 1 Final Exams. Exams will be applied by classical method.
Work Placement Not available.
Sustainability Development Goals Quality Education , Industry, Innovation and Infrastructure , Partnerships for Purposes

Content

Weeks Topics
Week - 1 Basic concepts and definitions about sampling
Week - 2 Sampling methods
Week - 3 The sample selection process in simple random sampling
Week - 4 Simple estimation in simple random sampling
Week - 5 Estimation of the sample size
Week - 6 Estimation of the sample size
Week - 7 Simple estimation in stratified sampling
Week - 8 Stratified random sampling
Week - 9 Stratified random sampling
Week - 10 Ratio estimations in simple random sampling
Week - 11 Ratio estimations in stratified random sampling
Week - 12 Ratio estimations in stratified random sampling
Week - 13 Systematic sampling
Week - 14 Cluster sampling

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Drill - Practise
  • Case Study
  • Problem Solving

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 25
2.Midterm Exam 1 25
Final Exam 1 50
Toplam (%) 100
  • Info on the Institution
  • Name and Adress
  • Academic Calendar
  • Academic Authorities
  • General Description
  • List of Programmes Offered
  • General Admission Requirements
  • Recognition of Prior Learning
  • Registration Procedures
  • ECTS Credit Allocation
  • Academic Guidance
  • Info on Degree Programmes
  • Doctorate Degree / Proficieny in Arts
  • Master's Degree
  • Bachelor's Degree
  • Associate Degree
  • Open&Distance Education
  • Info for Students
  • Cost of living
  • Accommodation
  • Meals
  • Medical Facilities
  • Facilities for Special Needs Students ı
  • Insurance
  • Financial Support for Students
  • Student Affairs Office
  • Info for Students
  • Learning Facilities
  • International Programmes r
  • Practical Information for Mobile Students
  • Language courses
  • Internships
  • Sports and Leisure Facilities
  • Student Associations