COURSE SYLLABUS

NONPARAMETRIC STATISTICS

1	Course Title:	NONPARAMETRIC STATISTICS
2	Course Code:	EKO3207
3	Type of Course:	Optional
4	Level of Course:	First Cycle
5	Year of Study:	3
6	Semester:	5
7	ECTS Credits Allocated:	5
8	Theoretical (hour/week):	3
9	Practice (hour/week) :	0
10	Laboratory (hour/week) :	0
11	Prerequisites:	No
12	Recommended optional programme components:	None
13	Language:	Turkish
14	Mode of Delivery:	Face to face
15	Course Coordinator:	Prof. Dr. Nuran Bayram
16	Course Lecturers:	Prof. Dr. Sevda Gürsakal
17	Contactinformation of the Course Coordinator:	E-posta: nuranb@uludag.edu.tr Telefon: 224 29 41126 Adres: Uludağ Üniversitesi İktisadi ve İdari Bilimler Fakültesi, Ekonometri Bölümü, Görükle, Bursa
18	Website:
19	Objective of the Course:	Show the non-parametric statistical techniques. Specify how and where they applied a scientific study.
20	Contribution of the Course to Professional Development	It has a contribution towards forming a basis for the development of students' professional skills related to nonparametric statistics.

Learning Outcomes:

1	Discuss nonparametric statistical techniques.;
2	Explain basic properties of nonparametric statistical Techniques.;
3	Analyze nonparametric statistical techniques.;
4	Learn nonparametric statistical techniques for one sample.;
5	Learn nonparametric statistical techniques for dependent two samples.;
6	Learn nonparametric statistical techniques for independent two samples.;
7	Learn nonparametric statistical techniques for dependent K samples.;
8	Learn nonparametric statistical techniques for independent K samples.;

22	Course Content:

Week	Theoretical	Practical
1	Population and Sampling, Data Measurement: Nominal scale, Ordinal scale, equal interval scale, proportional scale
2	Estimation, Hypothesis Tests: Determination of the null hypothesis, selecting the appropriate statistical test, determination of sample number, identification of Refuse Zone
3	Assumptions and characteristics of parametric and nonparametric statistics Parametric Tests, Nonparametric tests
4	Chi square for one sample Kolmogorov Smirnov test for one sample and aplications by using SPSS
5	Sign test for one sample, Wilcoxon sign rank test and aplications by using SPSS
6	Nonparametric Runs test for one sample and Aplications by Using SPSS
7	Nonparametric statistics Tests for dependent two sample: Sign Test, Wilcoxon sign rank test
8	Comparison of Mc Nemar test, Sign test, Wilcoxon signed rank test
9	Nonparametric statistics tests for two independent sample: Chi square test, Kolmogorov Smirnow test and application by using SPSS
10	Comparision of Mann- Whitney, Chi square , Kolmogorov Smirnov tests and Application by using SPSS
11	Nonparametric statistics Tests for k dependent sample. Cochran Q test, Friedman Aplication by Using SPSS
12	Nonparametric statistics Tests for k independent sample: Kruskal-Wallis test(H test) and application by using SPSS
13	Sperman’s rank correlation Coefficient and test, Kendall’s rank correlation coefficients and test
14	Kendall’s rank correlation coefficient and test, Kendall’s goodness of fit coeffient and test.

23	Textbooks, References and/or Other Materials:	1-Uygulamalı Parametrik Olmayan İstatistik Testleri; Mustafa Aytaç 2-Parametrik Olmayan İstatistiksel Teknikler; Hamza Gamgam 3-SPSS Uygulamalı Çok Değişkenli İstatistik Teknikleri;Şeref Kalaycı 4-Applied Nonparametric statistical Methods ; Peter Sprent and Nigel C. smeeton
24	Assesment

TERM LEARNING ACTIVITIES	NUMBER	PERCENT
Midterm Exam	1	40
Quiz	0	0
Homeworks, Performances	0	0
Final Exam	1	60
Total	2	100
Contribution of Term (Year) Learning Activities to Success Grade		40
Contribution of Final Exam to Success Grade		60
Total		100
Measurement and Evaluation Techniques Used in the Course	Measurement and evaluation are made with multiple choice test questions and written questions.
Information	This course is evaluated with a relative evaluation system.

ECTS / WORK LOAD TABLE

CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS

LO: Learning Objectives

PQ: Program Qualifications

Contribution Level:

1 Very Low

2 Low

3 Medium

4 High

5 Very High