Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | SY202 | Statistics II | Compulsory | 2 | 4 | 4 |
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Level of Course Unit |
First Cycle |
Objectives of the Course |
The general laws that determine events in the light of coincidence are to uncover the general tendency, to search for the main causes, to find the relationships and connections between the events, thus helping the actions to be taken in the predictions, predictions and decisions to be made in various branches of management, science and technology. |
Name of Lecturer(s) |
Dr. Öğr. Üyesi Sefa Emre YILMAZEL |
Learning Outcomes |
1 | Learn to set confidence intervals for averages and ratios. | 2 | The main mass is able to generalize the results obtained by applying statistical methods on the samples taken from the population and the statistics obtained from one sample show that the principal mass parameters are point estimates | 3 | Learn to build a hypothesis about a topic and test the hypothesis. | 4 | Learn to establish the model of the relationship between variables. | 5 | They learn to find the direction and degree of the relationship between variables. |
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Mode of Delivery |
Normal Education |
Prerequisites and co-requisities |
None |
Recommended Optional Programme Components |
None |
Course Contents |
Sampling theory, statistical estimation, Statistical decision making, Hypothesis testing, Small sampling, Time series analysis, Least squares method, Indexes, Regression and correlation analysis, Chi-square test. |
Weekly Detailed Course Contents |
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1 | ESTIMATION THEORY (RELIABILITY INTERVALS) | | | 2 | RELIABILITY RANGE FOR DIFFERENCES BETWEEN THE RATIOS | | | 3 | HYPOTHESIS TESTS | | | 4 | HYPOTHESIS TEST WITH Z TEST | | | 5 | HYPOTHESIS TEST WITH t TEST | | | 6 | VARIANCE ANALYSIS (F TEST) | | | 7 | Kİ SQUARE TEST | | | 8 | REGRESSION ANALYSIS + MIDDLE EAST | | | 9 | Kİ SQUARE FITNESS TEST | | | 10 | MOST VARIABLE REGRESSION ANALYSIS | | | 11 | NONLINEAR REGRESSION | | | 12 | TEST OF THE REGRESSION MODEL | | | 13 | CORRELATION ANALYSIS | | | 14 | INDICES | | | 15 | Final Exams | | |
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Recommended or Required Reading |
Uygulamalı İstatistik-II (Prof.Dr. Alaaddin BAŞAR ve Prof.Dr. Erkan OKTAY)
Bilgisayar Uygulamalı İstatistik-II (Prof.Dr. Nejmi GÜRSAKAL),
İstatistik Yöntemler(Prof.Dr. Murat KARAGÖZ) |
Planned Learning Activities and Teaching Methods |
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Assessment Methods and Criteria | |
Midterm Examination | 1 | 100 | SUM | 100 | |
Final Examination | 1 | 100 | SUM | 100 | Term (or Year) Learning Activities | 40 | End Of Term (or Year) Learning Activities | 60 | SUM | 100 |
| Language of Instruction | Turkish | Work Placement(s) | None |
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Workload Calculation |
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Midterm Examination | 1 | 1 | 1 |
Final Examination | 1 | 2 | 2 |
Attending Lectures | 14 | 3 | 42 |
Question-Answer | 14 | 2 | 28 |
Self Study | 14 | 2 | 28 |
Individual Study for Mid term Examination | 1 | 6 | 6 |
Individual Study for Final Examination | 1 | 8 | 8 |
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Contribution of Learning Outcomes to Programme Outcomes |
LO1 | 1 | 2 | 1 | 2 | 3 | 2 | 1 | 1 | 2 | 4 | 2 | 1 | 2 | 3 | 1 | LO2 | 1 | 2 | 1 | 2 | 3 | 2 | 1 | 1 | 2 | 4 | 2 | 1 | 2 | 3 | 1 | LO3 | 1 | 2 | 1 | 2 | 3 | 2 | 1 | 1 | 2 | 4 | 2 | 1 | 2 | 3 | 1 | LO4 | 1 | 2 | 1 | 2 | 3 | 2 | 1 | 1 | 2 | 4 | 2 | 1 | 2 | 3 | 1 | LO5 | 1 | 2 | 1 | 2 | 3 | 2 | 1 | 1 | 2 | 4 | 2 | 1 | 2 | 3 | 1 |
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* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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