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| EKO3003 | Statistical Methods | 3+0+0 | ECTS:6 | | Year / Semester | Fall 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 | Prof. Dr. Mustafa KÖSEOĞLU | | Co-Lecturer | | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | The aim of the course is to present statistical inference methods practically. |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | understand some estimation and hypothesis test methods | 1,2 | 1, | | LO - 2 : | explain some estimation and hypothesis test methods | 1,2 | 1, | | LO - 3 : | apply some estimation and hypothesis test methods | 1,2 | 1, | | LO - 4 : | determine the appropriate estimation and hypothesis test methods | 1,2 | 1, | | LO - 5 : | inference about the population. | 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 | | |
| One-way anova, two-way anova, nonparametric tests for randomness, nonparametric tests for location parameters, nonparametric tests for proportion, nonparametric tests for dispersion parameters, googness of fit tests, rank correlation, nonparametric simple linear regression analysis |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Population and sampling, complete count and random sampling, population parameters and sample statistisc, samling distributions, central limit theorem, statistical inference | | | Week 2 | Point estimator, proporties of point estimators, interval estimator | | | Week 3 | Analysis of variance for one-factor experiments, Kruskall-Wallis one-way analysis of variance, multiple comparisons | | | Week 4 | Analysis of variance for two-factor experiments (one observations per cell), Friedman two-way analysis of variance | | | Week 5 | Analysis of variance for two-factor experiments (n observations per cell) | | | Week 6 | Analysis of variance for three-factor experiments | | | Week 7 | One sample run test for randomness, one sample sign test | | | Week 8 | One sample Wilcoxon signed-ranks test, Median test | | | Week 9 | Mid-term exam | | | Week 10 | Mann-Whitney test, Binomial test | | | Week 11 | Sign test for two related samples, Wilcoxon matched-pairs signed-rank test | | | Week 12 | Mood test, Moses test | | | Week 13 | Kolmogorov-Simirnov one-sample test, Kolmogorov-Simirnov two-sample test | | | Week 14 | Spearman rank correlation coefficient, Kendall's Tau | | | Week 15 | Brown-Mood method for nonparametric simple linear regression analysis | | | Week 16 | End-of-term exam | | | |
| 1 | Newbold, P. (çev. Şenesen, Ü.) 2000; İşletme ve İktisat için İstatistik, Literatür Yayıncılık, İstanbul | | | |
| 1 | İstanbul Türedi, N. 2004; Uygulamalı İstatistik Yöntemler, Celepler Matbaacılık, Trabzon | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 11/2023 | 1,15 | 50 | | End-of-term exam | 16 | 01/2024 | 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 | 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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