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| IST3023 | Nonparametric Statistical Methods | 4+0+0 | ECTS:6 | | 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 | Face to face | | Contact Hours | 14 weeks - 4 hours of lectures per week | | Lecturer | Prof. Dr. Türkan ERBAY DALKILIÇ | | Co-Lecturer | PROF. DR. Türkan ERBAY DALKILIÇ, PROF. DR. Zafer KÜÇÜK | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | To teach the students what type of analysis methods to use for the problems they confront and how to make inferences. |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | form and test the hypothesis for one sample.
| 1,2,3,5,6,8,9,10,11 | 1 | | LO - 2 : | form and test the hypotheses for two-samples.
| 1,2,3,5,6,8,9,10,11 | 1 | | LO - 3 : | form and test the hypotheses for more than two samples.
| 1,2,3,5,6,8,9,10,11 | 1 | | LO - 4 : | make statistical comments about the results of hypothesis testing
| 1,2,3,5,6,8,9,10,11 | 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 | | |
| Short history, statistical concepts, statistic with linear order number, location tests on one sample, location tests on two samples, goodness of fit tests, scale tests, array pieces tests
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Basic concepts
| | | Week 2 | Statistical techniques that use data compiled from one sample
| | | Week 3 | Median test, Mann-Whitney U test
| | | Week 4 | Mood test, moses test
| | | Week 5 | Statistical techniques that use data from a two-dependent sample
| | | Week 6 | chi-square test for independence
| | | Week 7 | H test
| | | Week 8 | Mid-term exam
| | | Week 9 | Application of methods in a computer
| | | Week 10 | S test
| | | Week 11 | S test (continued)
| | | Week 12 | Chi-square fitting test
| | | Week 13 | Simirnov Kolmogorov fitting test
| | | Week 14 | Relationship coefficients
| | | Week 15 | Simple linear regression technique, revision and problem solving
| | | Week 16 | End-of-term exam
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| 1 | Gamgam, H., 1998; Parametrik olmayan istatistiksel teknikler, Gazi Üniversitesi, Ankara | | | |
| 1 | Conover, W.J., 1980; Practical nonparametric statistics, John Wiley and Sons., New York | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 13/11/2019 | 1,5 | 50 | | End-of-term exam | 16 | 03/01/2020 | 1,5 | 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 | 4 | 14 | 56 | | Sınıf dışı çalışma | 4 | 14 | 56 | | Laboratuar çalışması | 0 | 0 | 0 | | Arasınav için hazırlık | 15 | 1 | 15 | | Arasınav | 2 | 1 | 2 | | Uygulama | 0 | 0 | 0 | | Klinik Uygulama | 0 | 0 | 0 | | Ödev | 0 | 0 | 0 | | Proje | 4 | 14 | 56 | | Kısa sınav | 0 | 0 | 0 | | Dönem sonu sınavı için hazırlık | 20 | 1 | 20 | | Dönem sonu sınavı | 2 | 1 | 2 | | Diğer 1 | 0 | 0 | 0 | | Diğer 2 | 0 | 0 | 0 | | Total work load | | | 207 |
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