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EKOZ5520 | Statistical Methods | 3+0+0 | ECTS:7.5 | Year / Semester | Spring Semester | Level of Course | Second 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. Tuba YAKICI AYAN | 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. |
Programme Outcomes | CTPO | TOA | Upon successful completion of the course, the students will be able to : | | | PO - 1 : | understand some estimation and hypothesis test methods | 10 | 1, | PO - 2 : | explain some estimation and hypothesis test methods | 10 | 1, | PO - 3 : | apply some estimation and hypothesis test methods | 10 | 1, | PO - 4 : | determine the appropriate estimation and hypothesis test methods | 10 | 1, | PO - 5 : | infer about the population. | 10 | 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 | |
Sampling Theory, Estimation Theory , Testing Hypotheses, The Chi-Square Tests, Analysis of Variance, Regression and Correlation, Some Nonparametric Tests |
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Course Syllabus | Week | Subject | Related Notes / Files | Week 1 | Sampling Theory: Population and parametesr, random sample and sample statistics, sampling distributions, central limit theorem, statistical inference | | Week 2 | Estimation Theory: Point estimate and interval estimate, precision, reliability, confidence interval for the mean, determining the required sample size for estimating the mean, confidence interval for the difference between two means | | Week 3 | Estimation Theory: Confidence interval for the population proportion, determining required sample size for estimating the proportion, confidence interval for the variance | | Week 4 | Hypothesis Testing: Basic steps in hypothesis testing, type I and typ II errors, hypothesis testing concerning the mean | | Week 5 | Hypothesis testing: Hypothesis testing difference between two means based on paired observations, hypothesis testing concerning the proportion and the variance | | Week 6 | Hypothesis Testing: Goodness of fit tests, chi-square test for independence and homogenity | | Week 7 | Analysis of Variance: One-way analysis of variance, two-way analysis of variance (one observation per cell) | | Week 8 | Analysis of Variance: Two way analysis of variance (n observations per cell), analysis of variance for three factors | | Week 9 | Mid-term exam | | Week 10 | Regression and Correlation Analysis: The simple linear regression analysis | | Week 11 | The matrix approach to simple linear regression analysis | | Week 12 | Quiz | | Week 13 | The matrix approach to multiple regression analysis | | Week 14 | Multicollinearity, heterocedasticity, autocorrelation | | Week 15 | Some Nonparametric Tests: The runs test of randomness, sign test (one sample and paired obsevations), the wilcoxon test (one sample and paired obsevations), the mann-whitney test | | Week 16 | End-of-term exam | | |
1 | Newbold, P. (çev. Şenesen, Ü.) 2000; İşletme ve İktisat için İstatistik, Literatür Yayıncılık, İstanbul | | 2 | 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 | 11/2024 | 1,15 | 30 | Presentation | 12 | 12/2024 | | 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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