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| IST3005 | Sampling Theory | 2+0+0 | ECTS:4 | | Year / Semester | Fall Semester | | Level of Course | First Cycle | | Status | Compulsory | | Department | DEPARTMENT of STATISTICS and COMPUTER SCIENCES | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 2 hours of lectures per week | | Lecturer | Arş. Gör. Yeşim AKBAŞ | | Co-Lecturer | PROF. DR. Türkan ERBAY DALKILIÇ | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | The aim of this course is to describe sampling methods, to calculate the amount of sample and to teach the solution steps of the given problem. |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | understand the sampling methods and make sampling with these methods | 1 - 2 - 4 | 1, | | LO - 2 : | determine the sampling method suitable for structure of population
| 1 - 2 - 4 | 1, | | LO - 3 : | determine the extent of sampling | 1 - 2 - 4 | 1, | | LO - 4 : | make inferences by sampling | 1 - 2 - 4 | 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 of sampling, determination of sample size, sampling types, Simple Random Sampling, Stratified Random Sampling, Systematic Sampling, Cluster Sampling, Proportional Estimation
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Necessity of Data Collection
Types of Research | | | Week 2 | Data Collection Types
Basic concepts
Errors Encountered in the Research | | | Week 3 | Features of Estimator and Estimator
Error Mean Squares
Forecasting Methods | | | Week 4 | Simple Random Sampling
Sample Selection Methods
Random Numbers Table | | | Week 5 | Simple Random Sampling (continued)
Estimating Population Parameters
Sample statistics
Determination of Sample Diameter Required for Estimates | | | Week 6 | Simple Random Sampling (continued)
Coefficient of Change and Proportional Variance
Determination of Sample Diameter Required for Estimates | | | Week 7 | Stratified Random Sampling
Estimating Population Parameters | | | Week 8 | Stratified Random Sampling
Allocating the Sample to Strata
Specimen Diameter Determination | | | Week 9 | Mid-term exam | | | Week 10 | Systematic Sampling
Sample Selection Methods | | | Week 11 | Systematic Sampling
Estimating Population Parameters
Chart Method | | | Week 12 | Cluster Sampling
Estimating Population Parameters | | | Week 13 | Cluster Sampling
Intra-cluster Correlation Coefficient
Sharing the Sample | | | Week 14 | Proportional Estimate | | | Week 15 | Proportional Estimation Using Stratified Random Sampling | | | Week 16 | Final Exam | | | |
| 1 | Çıngı, H., 1994; Örnekleme Kuramı, Hacettepe Yayınları | | | |
| 1 | Baş, T., Anket; 2001, Seçkin yayınları | | | 2 | Yamane, T.; 2001, Temel Örnekleme Yöntemleri, Literatür Yayınları | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 22/11/2021 | 90 | 50 | | End-of-term exam | 16 | 10/01/2022 | 90 | 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 | 2 | 14 | 28 | | Arasınav için hazırlık | 1 | 8 | 8 | | Arasınav | 1 | 1 | 1 | | Dönem sonu sınavı için hazırlık | 1 | 8 | 8 | | Dönem sonu sınavı | 1 | 1 | 1 | | Total work load | | | 46 |
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