COURSE UNIT TITLE

: NONPARAMETRIC STATISTICS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
STA 5054 NONPARAMETRIC STATISTICS ELECTIVE 3 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSOCIATE PROFESSOR IDIL YAVUZ

Offered to

Statistics (English)
STATISTICS (ENGLISH)
Statistics (English)

Course Objective

The aims of the course are teaching basic ideas of nonparametric statistics. Since populations do not always meet the assumptions underlying parametric tests, we frequently need inferential procedures whose validity does not depend on rigid assumptions. Non parametric statistical procedures fill this need in many instances, since they are valid very general assumptions. We shall discuss nonparametric procedures also satisfy other needs of the researcher.

Learning Outcomes of the Course Unit

1   Understanding basic elements of nonparametric statistics
2   Understanding theoretical background of nonparametric statistics
3   Choosing the appropriate nonparametric tests for the problems of research
4   Obtaining the results by using appropriate tests
5   Interpreting obtained results

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Procedures that utilize data from a single sample
2 Binomial test and Chi-square test
3 Kolmogorov-Smirnov test, Sign test and Wilcoxon Rank test
4 The one-sample Runs test for rondomness
5 Fisher Exact test, Chi-square test, Median test, Mann-Whitney U test and Kolmogorov-Smirnov test
6 Mc Nemar test, Sign test and Wilcoxon Rank test, Walsh test and Randomization test
7 Median test
8 Kruskal-Wallis test
9 Multiple comparisons
10 Chi-square test
11 Procedures that utilize data from three or more dependent sample
12 The Friedman test
13 The Durbin test, Presentation
14 Cochran's test

Recomended or Required Reading

Wayne W.Daniel, Applied Nonparametric Statistics, Houghton Mifflin Company, Boston,1978

Planned Learning Activities and Teaching Methods

Lecture, Homeworks, Presentation

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 PRS PRESENTATION
2 PAR PARTICIPATION
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE PRS * 0.40 + PAR * 0.10 + FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) PRS * 0.40 + PAR * 0.10 + RST * 0.50


Further Notes About Assessment Methods

None

Assessment Criteria

Evaluation of homework assignments and examinations, presentation.

Language of Instruction

English

Course Policies and Rules

Attendance to at least 70% for the lectures is an essential requirement of this course and is the responsibility of the student. It is necessary that attendance to the lecture and homework delivery must be on time. Any unethical behavior that occurs either in presentations or in exams will be dealt with as outlined in school policy. You can find the undergraduate policy at http://web.deu.edu.tr/fen

Contact Details for the Lecturer(s)

DEU Fen Fakültesi Istatistik Bölümü
e-mail: idil.yavuz@deu.edu.tr
Tel: 0232 301 85 56

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparation before/after weekly lectures 14 2 28
Preparing Presentations 1 12 12
Preparation for Final Exam 1 50 50
Preparing Individual Assignments 2 10 20
Preparation for Mid-term Exam 1 40 40
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 196

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.1555555
LO.255545
LO.3555555
LO.455554
LO.555555555

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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