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IST3008 | Statistical Inference | 4+0+0 | ECTS:6 | Year / Semester | Spring Semester | Level of Course | First Cycle | Status | Elective | 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 Buğra Kaan TİRYAKİ | Co-Lecturer | | Language of instruction | Turkish | Professional practise ( internship ) | None | | The aim of the course: | The aim of this course is to analyze the data that are confronted in real life and then make students get the knowledge and skills for commenting on the analysis 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 | |
Sampling Distributions, Hypothesis Tests, Confidence Intervals, Analysis of Variance, Relationship Coefficients. |
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Course Syllabus | Week | Subject | Related Notes / Files | Week 1 | Basic concepts, Difference Between Parametric and Non-Parametric Statistical Methods | | Week 2 | Goodness of Fit Tests | | Week 3 | Homogeneity of Variance Tests | | Week 4 | Single Sample Tests | | Week 5 | Single Sample Tests | | Week 6 | Independent Two-Sample Tests | | Week 7 | Independent Two-Sample Tests | | Week 8 | Two-Sample Dependent Tests | | Week 9 | Midterm | | Week 10 | Two-Sample Dependent Tests | | Week 11 | | | Week 12 | Independent k-Sample Tests | | Week 13 | Independent k-Sample Tests | | Week 14 | Dependent k-Sample Tests | | Week 15 | Relationship Coefficients | | Week 16 | End-of-term exam | | |
1 | Gamgam, H., Altunkaynak B., 2017; Parametrik Olmayan Yöntemler, Seçkin Yayınları | | 2 | Ünver Ö., Gamgam, H., Altunkaynak B., 2021; Temel İstatistik Yöntemler, Seçkin Yayınları | | |
Method of Assessment | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | Mid-term exam | 9 | 17.04.2022 | 1,5 | 50 | End-of-term exam | 16 | 07.06.2022 | 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 | Arasınav için hazırlık | 5 | 1 | 5 | Arasınav | 1.5 | 1 | 1.5 | Dönem sonu sınavı için hazırlık | 8 | 1 | 8 | Dönem sonu sınavı | 1.5 | 1 | 1.5 | Total work load | | | 100 |
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