| Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | | PDR2062016335 | Statistic 2 | Compulsory | 2 | 4 | 3 |
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| Level of Course Unit |
| First Cycle |
| Objectives of the Course |
| Faculty of Education students gain proficiency in tests of hypothesis, correlation, regression, analyses of variance and using statistical packet programmes. |
| Name of Lecturer(s) |
| Dr. Öğr. Üyesi Özkan ÇİKRIKCİ |
| Learning Outcomes |
| 1 | Apply parametric statistical techniques such as simple regression analysis and t test | | 2 | Chooses the right statistical method to use in a scientific research. | | 3 | Discusses the statistical methods and findings in an article he read with a critical perspective | | 4 | Determine appropriate statistical methods for educational research | | 5 | Applies nonparametric statistical techniques such as Chi-Square and Mann Whitney U test |
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| Mode of Delivery |
| Formal Education |
| Prerequisites and co-requisities |
| None |
| Recommended Optional Programme Components |
| None |
| Course Contents |
| Determine the appropriate statistical methods of educational research. - In an article he read critically discusses the statistical methods and findings. - Nonparametric statistical techniques such as simple regression analysis and t-test applies. - Nonparametric statistical techniques such as Ki kare ve Mann Whitney U test applies. |
| Weekly Detailed Course Contents |
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| 1 | To introduce the curriculum. | | | | 2 | Parametric and nonparametric tests | | | | 3 | Hypothesis testing; 1 and 2 types of error types, degrees of freedom | | | | 4 | T test and One-sample t-test | | | | 5 | Two independent-samples t test | | | | 6 | Wilcoxon – Signed ranks tests | | | | 7 | Mann – Whitney U testi | | | | 8 | Midterm exam | | | | 9 | Wilcoxon – Mached Paires Signed – ranks tests | | | | 10 | Analysis of variance; One-way analysis of variance | | | | 11 | Two-way analysis of variance | | | | 12 | Kruskal – Wallis ANOVA | | | | 13 | Friedman Two – way ANOVA | | | | 14 | Simple Regression | | |
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| Recommended or Required Reading |
| Sosyal bilimler için veri amalizi el kitabı, Ş. büyüköztürk (2010).
Sosyal bilimler için istatistik, Ş.Büyüköztürk ve diğerleri (2010).
Discovering statistics using SPSS for Windows, A. Field (2009).
Statistics for the behavioral sciences, F. Gravetter ve L. Wallnau (2004). |
| Planned Learning Activities and Teaching Methods |
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| 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 |
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| Workload Calculation |
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| Midterm Examination | 1 | 3 | 3 |
| Final Examination | 1 | 3 | 3 |
| Attending Lectures | 14 | 3 | 42 |
| Practice | 14 | 3 | 42 |
| Individual Study for Mid term Examination | 1 | 5 | 5 |
| Individual Study for Final Examination | 1 | 5 | 5 |
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| Contribution of Learning Outcomes to Programme Outcomes |
| LO1 | 5 | 5 | 4 | 5 | 5 | 5 | 4 | 4 | 4 | 5 | 5 | 5 | 4 | 4 | 5 | 5 | 5 | 5 | 4 | 5 | 5 | 5 | 5 | 4 | 5 | | LO2 | 5 | 5 | 5 | 5 | 5 | 4 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 4 | 5 | 5 | 4 | 5 | 5 | 5 | 5 | 5 | 5 | 4 | 5 | | LO3 | 5 | 4 | 5 | 4 | 5 | 5 | 5 | 4 | 5 | 5 | 4 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 4 | 5 | 5 | 5 | 5 | 5 | 5 | | LO4 | 5 | 4 | 5 | 5 | 5 | 4 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 4 | 5 | 5 | 4 | 4 | 5 | 5 | 4 | 5 | 5 | 5 | 4 | | LO5 | 4 | 5 | 5 | 5 | 4 | 5 | 5 | 5 | 4 | 5 | 5 | 5 | 4 | 4 | 5 | 5 | 4 | 4 | 5 | 4 | 5 | 5 | 5 | 5 | 5 |
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| * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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