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Description of Individual Course UnitsCourse Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | IMO3062013331 | STATISTICS AND PROBABILITY II | Compulsory | 3 | 6 | 4 |
| Level of Course Unit | First Cycle | Objectives of the Course | To recognize distributions, to learn and use possible statistical methods for decision analyse | Name of Lecturer(s) | Asst. Prof. Dr.Mehmet KORKMAZ | Learning Outcomes | 1 | Students will have concepts on normal distribution and apply them on regarding problems | 2 | Students will have concepts on sample distribution and apply them on related problems | 3 | Students will have concepts on confidence interval and apply them on related problems when needed | 4 | Students gain the skills to use hypothesis tests for taking a decision. | 5 | Student can explain the purpose of t-test, chi-square test and apply these tests on various groups. | 6 | Student can explain the concepts of correlation and regression analysis, and explain how to apply. |
| Mode of Delivery | Formal Education | Prerequisites and co-requisities | None | Recommended Optional Programme Components | None | Course Contents | Concept of distribution, The characteristics of normal distribution, Areas under the standard normal curve, Approximantion of discrete distribution to normal distribution,Approximantion of binomial distribution to normal distribution, Chi-square distribution, Theoretical knowledge of sampling theory, The average of the sample distributions, sample distribution rates, the averaage differences between the sample distribution, sampling distributions of differences between proportions and applications, Brief theorical knowledge about the theory of estimates, point estimates and confidence limits, the average for the confidence interval | Weekly Detailed Course Contents | |
1 | Concept of distribution | | | 2 | The characteristics of normal distribution | | | 3 | Areas under the standard normal curve | | | 4 | Approximantion of discrete distribution to normal distribution | | | 5 | Approximantion of binomial distribution to normal distribution | | | 6 | Approximantion of binomial distribution to normal distribution | | | 7 | Approximantion of Poisson distribution to normal distribution | | | 8 | Midterm | | | 9 | Theoretical knowledge of sampling theory | | | 10 | Chi-square distribution | | | 11 | The average of the sample distributions, sample distribution rates, the averaage differences between the sample distribution, sampling distributions of differences between proportions and applications | | | 12 | The average of the sample distributions, sample distribution rates, the averaage differences between the sample distribution, sampling distributions of differences between proportions and applications | | | 13 | Brief theorical knowledge about the theory of estimates, point estimates and confidence limits, the average for the confidence interval | | | 14 | Brief theorical knowledge about the theory of estimates, point estimates and confidence limits, the average for the confidence interval | | | 15 | Rates for the confidence intervals, standards deviations for the confidence intervals, the average between the confidence intervals, confidence intervals for differences beetween propotions and applied studies | | | 16 | Final Exam | | |
| Recommended or Required Reading | Akdeniz, F. (1998). Olasılık ve İstatistik, Baki Kitabevi, Adana
ERBAŞ, S.O.. (2007). Olasılık ve İstatistik, Ankara, 2007,2008,2011 Üçüncü baskı. Ankara. Gazi Kitabevi | Planned Learning Activities and Teaching Methods | | Assessment Methods and Criteria | |
SUM | 0 | |
SUM | 0 | Yarıyıl (Yıl) İçi Etkinlikleri | 40 | Yarıyıl (Yıl) Sonu Etkinlikleri | 60 | SUM | 100 |
| Language of Instruction | Turkish | Work Placement(s) | None |
| Workload Calculation | |
Attending Lectures | 16 | 2 | 32 | Self Study | 16 | 2 | 32 | Individual Study for Homework Problems | 5 | 2 | 10 | Individual Study for Mid term Examination | 2 | 15 | 30 | Individual Study for Final Examination | 1 | 20 | 20 | |
Contribution of Learning Outcomes to Programme Outcomes | LO1 | 3 | 4 | 2 | 4 | | | | | | | | | | | | | LO2 | 3 | 4 | 2 | 4 | | | | | | | | | | | | | LO3 | 3 | 4 | 2 | 4 | | | | | | | | | | | | | LO4 | 3 | 4 | 2 | 4 | | | | | | | | | | | | | LO5 | 3 | 4 | 2 | 4 | | | | | | | | | | | | | LO6 | 3 | 4 | 2 | 4 | | | | | | | | | | | | |
| * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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