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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 | ZT607 | NON-PARAMETRIC STATISTICS METHODS | Compulsory | 1 | 1 | 6 |
| Level of Course Unit | Second Cycle | Objectives of the Course | The objective of this course is to understand the nonparametric approach and to use some of the basic nonparametric tests | Name of Lecturer(s) | Assist.Prof.Dr.Yeliz KAŞKO ARICI | Learning Outcomes | 1 | Learn the intended use of non-parametric tests | 2 | Learn the advantages and disadvantages of parametric and nonparametric tests | 3 | Nonparametric statistical tests and analyzes can also | 4 | Will have the ability to evaluate and interpret the results of the analysis |
| Mode of Delivery | Formal Education | Prerequisites and co-requisities | İstatistik Testler ve Bilgisayar Uygulamaları, Biyoistatistik Testler ve Bilgisayar Uygulamaları | Recommended Optional Programme Components | None | Course Contents | Introduction to nonparametric tests, Data types, Asumptions of parametric tests, Advantage and disadvantage of nonparametric tests
Errors in Hypothesis Testing, Test power, Normality tests, Tests for homogeneity of variance, 1-sample nonparametric tests, 2-independent samples nonparametric tests, 2-dependent samples nonparametric tests, Mood Test, Siegel-Tukey Test, k-independent samples nonparametric tests, k-dependent samples nonparametric tests, Nonparametric multiple comparison tests, Chi-square tests, Nonparametric correlation coefficients, Nonparametric regression analysis, Computer applications with statistical package programs (Minitab, SPSS). | Weekly Detailed Course Contents | |
1 | Introduction to nonparametric tests, Data types, Asumptions of parametric tests, Advantage and disadvantage of nonparametric tests | | | 2 | Errors in Hypothesis Testing, Test power, Normality tests, Tests for homogeneity of variance, Problem solving and computer applications | | | 3 | 1-sample nonparametric tests: Signed test, Wilcoxon signed rank test, Problem solving and computer applications | | | 4 | 2-independent samples nonparametric tests: Median test, Mann-Whitney U test, Problem solving and computer applications | | | 5 | 2-dependent samples nonparametric tests: Signed test, Wilcoxon signed rank test, Mc Nemar test, Problem solving and computer applications | | | 6 | Mood Test, Siegel-Tukey Test, Problem solving and computer applications | | | 7 | k-independent samples nonparametric tests: Kruskal-Wallis test ,Problem solving and computer applications | | | 8 | Nonparametric multiple comparison tests, Problem solving and computer applications | | | 9 | Midterm Exam | | | 10 | k-dependent samples nonparametric tests: Friedman test, Cochran Q test, Problem solving and computer applications | | | 11 | Nonparametric multiple comparison tests, Problem solving and computer applications | | | 12 | Chi-square tests, Problem solving and computer applications | | | 13 | Fisher Exact test, G-test | | | 14 | Nonparametric correlation coefficients: Kendall-Tau correlation coefficient, Spearman rank correlation coefficient, Problem solving and computer applications | | | 15 | Nonparametric regression analysis | | | 16 | Final Exam | | |
| Recommended or Required Reading | Gibbons, J. D. and Chakraborti, S., 2010. Nonparametric Statistical Inference, 5th Edition, CRC Press, Florida
Daniel, W.W., 1990. Applied Nonparametric Statistics. Second Edition, PWS-KENT Publising Company, Boston
Sheskin, D. J., 2000, "Parametric and Nonparametric Statistical Procedures", Chapman & Hall
Kocabaş, Z., Özkan, M. Ve Başpınar, E., 2013. Temel Biyometri. Ankara Üniversitesi Ziraat Fakültesi Yayınları, Yayın No:1606, Ankara
Mendeş, M., 2012, Uygulamalı Bilimler İçin İstatistik ve Araştırma Yöntemleri. Kriter Yayınları, İstanbul. | 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 | |
Midterm Examination | 1 | 2 | 2 | Final Examination | 1 | 2 | 2 | Quiz | 10 | 1 | 10 | Attending Lectures | 16 | 2 | 32 | Laboratory | 14 | 2 | 28 | Individual Study for Homework Problems | 14 | 3 | 42 | Individual Study for Mid term Examination | 8 | 3 | 24 | Individual Study for Final Examination | 14 | 5 | 70 | |
Contribution of Learning Outcomes to Programme Outcomes | LO1 | 3 | 5 | 3 | | | | | LO2 | 2 | 5 | 3 | | | | | LO3 | 4 | 5 | 3 | 3 | | 5 | 4 | LO4 | 5 | 5 | 3 | | | | 4 |
| * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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