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EKO5150 | Sampling Methods - I | 3+0+0 | ECTS:7.5 | Year / Semester | Fall Semester | Level of Course | Second Cycle | Status | Elective | Department | DEPARTMENT of ECONOMETRICS | Prerequisites and co-requisites | None | Mode of Delivery | | Contact Hours | 14 weeks - 3 hours of lectures per week | Lecturer | -- | Co-Lecturer | | Language of instruction | Turkish | Professional practise ( internship ) | None | | The aim of the course: | The purpose of this course is to provide the students with a general knowledge on basic concepts of sampling theory and to show how the sampling theory is applied in practice. |
Programme Outcomes | CTPO | TOA | Upon successful completion of the course, the students will be able to : | | | PO - 1 : | understand the sampling concepts and some sampling methods | 1,2 | 1, | PO - 2 : | explain the sampling concepts and some sampling methods | 1,2 | 1, | PO - 3 : | apply some sampling methods | 1,2 | 1, | PO - 4 : | determine the appropriate sampling method | 1,2 | 1, | PO - 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), PO : Learning Outcome | |
Expected Value and Variance, Properties of Point Estimators, Basic Concepts of Sampling Theory, Simple Randomize Sampling, Sampling for Proportions, Estimation of Sample Size, Stratified Random Sampling, Estimation of Sample Size, Further Aspect of Stratified Sampling. |
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Course Syllabus | Week | Subject | Related Notes / Files | Week 1 | Expected values and varinces: All possible samples, probability of selecting a sample of size n, expected value, some proporties of expected value, expected value of a sample value x(i) | | Week 2 | Expected values and varinces: The variance, proporties of the variance, joint probability distribution, expected value of a linear combination of random variables | | Week 3 | Expected values and varinces: The covariance, the variance of a linear combination of random variables, the coefficient of variation | | Week 4 | Properties of Point Estimators: Unbiasedness, consistent estimator, efficiency, confidence interval | | Week 5 | Basic Concepts: The population, the sampling unit, the frame, complete count and population parameters, sampling error, precision, reliability, | | Week 6 | Basic Concepts: Sample size and precision, sample size and precision in relative terms, nonsampling errors, the mean square error, sampling distribution, standart error | | Week 7 | Simple random sampling: Sample selection, estimator of the population mean and total, the variance of sample mean and its estimator, confidence interval | | Week 8 | Mid-term exam | | Week 9 | Simple Random Sampling: Estimation of the population proportional, the variance of sample proportional and its estimator, confidence interval | | Week 10 | Simple Random Sampling: Determination of sample size | | Week 11 | Stratified Random Sampling: Definitions and notation, estimation of the population total and mean, the population variance | | Week 12 | Stratified Random Sampling: The variance of sample mean and its estimator | | Week 13 | Stratified Random Sampling: Estimation of the population proportion, the variance of sample proportion and its estimator | | Week 14 | Stratified Random Sampling: Allocation of the sample, proportional allocation, optimum allocation, Neyman allocation | | Week 15 | Stratified Random Sampling: Determination of the sample size | | Week 16 | End-of-term exam | | |
1 | Yamane, T. (Çev. Alptekin, E. vd.) 2001; Temel Örkleme Yöntemleri, Literatür Yayıncılık, İstanbul | | 2 | Serper, Ö. Aytaç, M. 2000; Örnekleme, Ezgi Kitabevi, Bursa | | 3 | Türedi, N. 2008; Örnekleme, Celepler Matbaacılık, Trabzon | | |
Method of Assessment | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | Mid-term exam | 9 | 11/2024 | 1,15 | 30 | Homework/Assignment/Term-paper | 12 | 12/2024 | 0,50 | 20 | End-of-term exam | 16 | 01/2025 | 1,15 | 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 | 8 | 14 | 112 | Arasınav için hazırlık | 15 | 2 | 30 | Arasınav | 2 | 1 | 2 | Dönem sonu sınavı için hazırlık | 19 | 2 | 38 | Dönem sonu sınavı | 1 | 1 | 1 | Total work load | | | 225 |
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