Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | 9900001156 | İSTATİSTİK | Compulsory | 1 | 2 | 4 |
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Level of Course Unit |
First Cycle |
Objectives of the Course |
After completing this course, student will be able to; - Improve his/her knowledge and skills on basic statistics, descriptive statistics, common statistical distributions and properties, simple correlation and regression, sampling distributions, error types, Test of hypothesis for dependent and independent group means - Solve problems relating to these subjects by reflecting on his/her experiences, Develop adequate course plans. |
Name of Lecturer(s) |
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Learning Outcomes |
1 | Know probability concept and learn data types | 2 | Graphical representation of the data, summarize and makes interpretation. | 3 | Know types and characteristics of distributions. Know sampling dist. and hypotesis testing. | 4 | Learns regression and correlation analysis, applications, makes comments on the results. | 5 | Learn and apply the non-parametric statistics. Make Chi square test applications. | 6 | Olasılık kavramını bilir. Veri tiplerini öğrenir | 7 | Verilerin grafiksel gösterimini, özetlenmesini ve yorumlamasını yapar | 8 | Dağılım tiplerini ve özelliklerini öğrenir. Örnekleme dağılımlarını hipotez testlerini bilir | 9 | Regresyon ve korelasyon analizlerini öğrenir, uygulamalarını yapar sonuçları yorumlar | 10 | Parametrik olmayan istatistikleri öğrenir ve uygular. Khi kare testinin uygulamalarını yapar |
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Mode of Delivery |
Daytime Class |
Prerequisites and co-requisities |
None |
Recommended Optional Programme Components |
None |
Course Contents |
Introductionto Statistics, Basic concepts Scaling, Types of Data, Discontinuous variables, Continuous variables Frequency Distributions Tables Graphics for continuous variables (Polygon, Histogram) -Descriptive Statistics Location measurements (Central tendency measurements) Variation measurement -Descriptive Statistics for Frequency Distributions Tables -Correlation and regression -Classical distributions Discrete distributions ((Binom ve Poisson) Continuous distributions (Normal Distribution) -Sampling distributions and hypothesis tests -t distribution -Student t test for two independent groups -Paired t test for two dependent groups -Proportion tests -Chi-square distribution and Chi-square tests -General review and problem solving |
Weekly Detailed Course Contents |
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1 | Basic concepts | | | 2 | Basic concepts | | | 3 | Statistics expressed by the figure | | | 4 | Statistics expressed by the figure | | | 5 | Hypothesis control | | | 6 | Hypothesis control | | | 7 | Midterm exan | | | 8 | Confidence limits | | | 9 | Confidence limits | | | 10 | Khi square test | | | 11 | two way khi square test | | | 12 | Orthogonal comparisons | | | 13 | Correlation, regression | | | 14 | An overview | | | 15 | Final exam | | | 16 | | | |
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Recommended or Required Reading |
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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 |
Self Study | 14 | 6 | 84 |
Individual Study for Homework Problems | 1 | 10 | 10 |
Individual Study for Mid term Examination | 1 | 10 | 10 |
Homework | 1 | 10 | 10 |
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Contribution of Learning Outcomes to Programme Outcomes |
LO1 | 3 | | | | | | | | | | | | LO2 | | | 3 | | | | | | | | | | LO3 | | | | | 3 | | | | | | | | LO4 | | | | | | | | 4 | | | | | LO5 | | | | | | 2 | | | | | | | LO6 | | | | | | | | | | | | | LO7 | | | | | | | | | | | | | LO8 | | | | | | | | | | | | | LO9 | | | | | | | | | | | | | LO10 | | | | | | | | | | | | |
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* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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Iğdır University, Iğdır / TURKEY • Tel (pbx): +90 476
226 13 14 • e-mail: info@igdir.edu.tr
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