Ordu University Lifelong Learning Programme

Description of Individual Course Units

Course 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

Week	Theoretical	Practice	Laboratory
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

Term (or Year) Learning Activities	Quantity	Weight
SUM		0
End Of Term (or Year) Learning Activities	Quantity	Weight
SUM		0
Yarıyıl (Yıl) İçi Etkinlikleri		40
Yarıyıl (Yıl) Sonu Etkinlikleri		60
SUM		100

Language of Instruction

Turkish

Work Placement(s)

None

Workload Calculation

Activities	Number	Time (hours)	Total Work Load (hours)
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
TOTAL WORKLOAD (hours)			210

Contribution of Learning Outcomes to Programme Outcomes

	PO 1	PO 2	PO 3	PO 4	PO 5	PO 6	PO 7
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