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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 | | | Contact Hours | 14 weeks - 4 hours of lectures per week | | Lecturer | Dr. Öğr. Üyesi Uğur ŞEVİK | | 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 Non-Parametric Statistical Methods, what kind of analysis methods to use in real life problems, how to draw conclusions and to provide statistical interpretation of the results. |
| 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.
| 1,3 | 1, | | LO - 2 : | form and test the hypotheses for two-samples.
| 1,3 | 1 | | LO - 3 : | form and test the hypotheses for more than two samples.
| 1,3 | 1 | | LO - 4 : | make statistical comments about the results of hypothesis testing
| 1,3 | 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, the difference between parmetric and non-paranmetric tests, single-sample tests, dependent two-sample tests, independent two-sample tests, goodness-of-fit tests and correlation coefficients. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Basic concepts
| | | Week 2 | Difference Between Parametric and Non-Parametric Statistical Methods, | | | Week 3 | Goodness of Fit Tests
| | | Week 4 | Single Sample Tests: Sign Test, Wilcoxon Signed Ordinal Test, | | | Week 5 | Independent Two-Sample Tests: Median Test, Mann-Whitney U Test, | | | Week 6 | Independent Two-Sample Tests: Mood Test, Moses Test, | | | Week 7 | Two-Sample Dependent Tests: Sign Test, Wilcoxon Sequential Sign Test, | | | Week 8 | Chi-square Tests for Independence
| | | Week 9 | Midterm
| | | Week 10 | Independent k-Sample Tests: Kruskal-Wallis Test (H Statistic), | | | Week 11 | Sampling Distribution of H Statistics and Approach to Chi-Square Statistics, | | | Week 12 | Friedman's S Test | | | Week 13 | Simirnov Kolmogorov fitting test
| | | Week 14 | Sampling Distribution of Statistics and Approach to Chi-Square Statistics, | | | Week 15 | Relationship Coefficients: Sperman's Rank Correlation Coefficient, Kendal's Tau Relationship Coefficient, | | | Week 16 | End-of-term exam
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| 1 | Gamgam, H., Altunkaynak B., 2017; Parametrik olmayan Yöntemeler, Seçkin Yayınları | | | |
| 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 | 23/11/2021 | 1,5 | 50 | | End-of-term exam | 16 | 12/01/2022 | 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 | 2 | 14 | 28 | | Laboratuar çalışması | 0 | 0 | 0 | | Arasınav için hazırlık | 5 | 1 | 5 | | Arasınav | 1.5 | 1 | 1.5 | | Uygulama | 0 | 0 | 0 | | Klinik Uygulama | 0 | 0 | 0 | | Ödev | 0 | 0 | 0 | | Proje | 0 | 14 | 0 | | Kısa sınav | 0 | 0 | 0 | | Dönem sonu sınavı için hazırlık | 8 | 1 | 8 | | Dönem sonu sınavı | 1.5 | 1 | 1.5 | | Diğer 1 | 0 | 0 | 0 | | Diğer 2 | 0 | 0 | 0 | | Total work load | | | 100 |
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