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EKO3000 | Sampling | 3+0+0 | ECTS:6 | Year / Semester | Spring Semester | Level of Course | First Cycle | Status | Compulsory | Department | DEPARTMENT of ECONOMETRICS | Prerequisites and co-requisites | None | Mode of Delivery | | Contact Hours | 14 weeks - 3 hours of lectures per week | Lecturer | Dr. Öğr. Üyesi Hüseyin ÜNAL | Co-Lecturer | PROF. DR. MUSTAFA KÖSEOĞLU | Language of instruction | Turkish | Professional practise ( internship ) | None | | The aim of the course: | The purpose of this course is to present sampling concepts and some sampling methods |
Learning Outcomes | CTPO | TOA | Upon successful completion of the course, the students will be able to : | | | LO - 1 : | understand the sampling concepts and sampling methods | 1,2 | 1, | LO - 2 : | explain the sampling concepts and sampling methods | 1,2 | 1, | LO - 3 : | apply some sampling methods | 1,2 | 1, | LO - 4 : | determine the appropriate sampling method | 1,2 | 1, | LO - 5 : | evaluate the estimations. | 1,2 | 1, | 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 | |
Basic Concepts, Simple Random Sampling, Stratified Random Sampling, Estimation of Sample Size, Systematic Sampling, Cluster Sampling. |
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Course Syllabus | Week | Subject | Related Notes / Files | Week 1 | Basic concepts: The population, the sampling unit, the frame, complete count and population parameters, sampling, sample statistics, sampling error, standart error, sampling distribution, central limit theorem | | Week 2 | Basic concepts: Precision, reliability, sample sizes and precision, unbiasedness, consistent estimator, efficiency | | Week 3 | Simple random sampling: Sample selection, estimator of the population mean and total, the variance of sample mean and its estimator, confidence interval | | Week 4 | Simple Random Sampling: Estimation of the population proportional, the variance of sample proportional and its estimator, confidence interval | | Week 5 | Simple Random Sampling: Determination of sample size | | Week 6 | Stratified Random Sampling: Definitions and notations, estimation of the population total and mean, the population variance | | Week 7 | Stratified Random Sampling: The variance of sample mean and its estimator | | Week 8 | Stratified random sampling: Estimation of the population proportion, the variance of sample proportion and its estimator | | Week 9 | Mid-term exam | | Week 10 | Stratified Random Sampling: Allocation of the sample, proportional allocation, optimum allocation, Neyman allocation | | Week 11 | Stratified Random Sampling: Determination of the sample size | | Week 12 | Further Aspect of Sampling. Comparison of stratified random sampling with simple random sapmling | | Week 13 | Systematic Sampling: Description, sample selection procedure, esimation of the population mean | | Week 14 | Systematic Sampling: Types of population, the variance of the estimated mean and its estimator | | Week 15 | Simple cluster sampling: Descriptions and notations, estimation of the population total, the variance of the estimated total and its estimator | | Week 16 | End-of-term exam | | |
1 | Yamane, T. (Çev. Alptekin, E. vd.) 2001; Temel Örkleme Yöntemleri, Literatür Yayıncılık, İstanbul | | |
1 | Serper, Ö. Aytaç, M. 2000; Örnekleme, Ezgi Kitabevi, Bursa | | |
Method of Assessment | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | Mid-term exam | 9 | 04/2024 | 1 | 50 | End-of-term exam | 16 | 06/2024 | 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 | 3 | 14 | 42 | Sınıf dışı çalışma | 6 | 14 | 84 | Arasınav için hazırlık | 11 | 2 | 22 | Arasınav | 1 | 1 | 1 | Dönem sonu sınavı için hazırlık | 10 | 3 | 30 | Dönem sonu sınavı | 1 | 1 | 1 | Total work load | | | 180 |
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