IEM1842 Nonparametric Statistical Methods

8 ECTS - 4-0 Duration (T+A)- 3. Semester- 4 National Credit

Information

Unit INSTITUTE OF SOCIAL SCIENCES
ECONOMETRICS (PhD)
Code IEM1842
Name Nonparametric Statistical Methods
Term 2018-2019 Academic Year
Term Fall
Duration (T+A) 4-0 (T-A) (17 Week)
ECTS 8 ECTS
National Credit 4 National Credit
Teaching Language Türkçe
Level Doktora Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. EBRU ÖZGÜR GÜLER
Course Instructor
The current term course schedule has not been prepared yet.


Course Goal / Objective

The purpose of lesson is to explain small sample hypothesis tests which are applied when the normal distribution is not satisfied, goodness of fit tests, tests for independency and homogeneity also coefficients of relationship.

Course Content

The course content covers rank and rank-order statistics, goodness of fit tests, tests for homogeneity of variances, one sample tests, tests for two-independent and dependent samples tests, tests for more than two dependent and interdependent tests, independency and homogeneity and coefficient of relationship. Also applications of these methods on SPSS

Course Precondition

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Differentiates between parametric and nonparametric methods and determines when to apply nonparametric tests
LO02 Computes rank and rank-order statistics
LO03 Does and interprets goodness of fit tests
LO04 Tests the homogeneity ofvariances
LO05 Applies and interprets one sample nonparametric hypothesis tests
LO06 Does and interprets two-independent sample nonparametric hypothesis tests
LO07 Does and interprets two-dependent sample nonparametric hypothesis tests
LO08 Applies chi-square test for independency and homogeneity
LO09 Does and interprets more than two-independent sample nonparametric hypothesis tests
LO10 Does and interprets more than two-dependent sample nonparametric hypothesis tests
LO11 Computes and interprets nonparametric coefficients of relationship


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Identify an econometric problem and propose a new solution to it
PLO02 Bilgi - Kuramsal, Olgusal Develops new knowledge using current concepts in Econometrics, Statistics and Operations Research
PLO03 Bilgi - Kuramsal, Olgusal Explain for what purpose and how econometric methods are applied to other fields and disciplines 4
PLO04 Beceriler - Bilişsel, Uygulamalı Using her knowledge, brings original solutions to problems in Economics, Business Administration and other social sciences
PLO05 Beceriler - Bilişsel, Uygulamalı Creates a new model using mathematics, statistics and econometrics knowledge to solve the problem encountered 3
PLO06 Beceriler - Bilişsel, Uygulamalı Interprets the results obtained from the most appropriate method to predict the model 5
PLO07 Beceriler - Bilişsel, Uygulamalı Performs conceptual analysis to develop solutions to problems 5
PLO08 Beceriler - Bilişsel, Uygulamalı Collects data on purpose
PLO09 Beceriler - Bilişsel, Uygulamalı Synthesizes the information obtained by using different sources within the framework of academic rules in a field of research 4
PLO10 Beceriler - Bilişsel, Uygulamalı Presents analysis results conveniently 4
PLO11 Beceriler - Bilişsel, Uygulamalı Converts its findings into a master's thesis or a professional report in Turkish or a foreign language
PLO12 Beceriler - Bilişsel, Uygulamalı It researches current approaches and methods to solve the problems it encounters and proposes new solutions
PLO13 Beceriler - Bilişsel, Uygulamalı Develops long-term plans and strategies using econometric and statistical methods
PLO14 Beceriler - Bilişsel, Uygulamalı Uses a package program/writes a new code for Econometrics, Statistics, and Operation Research
PLO15 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Performs self-study using knowledge of Econometrics, Statistics and Operations to solve a problem 3
PLO16 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Leads the team by taking responsibility
PLO17 Yetkinlikler - Öğrenme Yetkinliği Being aware of the necessity of lifelong learning, it constantly renews itself by following the current developments in the field of study
PLO18 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses acquired knowledge in the field to determine the vision, aim, and goals for an organization/institution
PLO19 Yetkinlikler - İletişim ve Sosyal Yetkinlik Interprets the feelings, thoughts and behaviors of the related persons correctly/expresses himself/herself correctly in written and verbal form
PLO20 Yetkinlikler - Alana Özgü Yetkinlik Applies social, scientific and professional ethical values
PLO21 Yetkinlikler - Alana Özgü Yetkinlik Interprets data on economic and social events by following current issues 3


Week Plan

Week Topic Preparation Methods
1 Some basic concepts Reference books
2 Order statistics Reference books
3 Goodness of fit tests; tests of Chi Square and Kolmogorov Smirnov Reference books
4 Tests of normality; tests of Lilliefors ve Shapiro - Wilk Reference books
5 Tests for homogeneity of variances Reference books
6 One sample tests Reference books
7 Applications on SPSS Reference books
8 Mid-Term Exam General review for the midterm exam
9 Tests for two-independent samples Reference books
10 Tests for two-dependent samples Reference books
11 Tests for more than two-independent samples Reference books
12 Tests for more than two-dependent samples Reference books
13 Tests for independency and homogeneity Reference books
14 Coefficients of relationship Reference books
15 Applications on SPSS Reference books
16 Term Exams General review for the final exam
17 Term Exams General review for the final exam


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 4 56
Out of Class Study (Preliminary Work, Practice) 14 8 112
Assesment Related Works
Homeworks, Projects, Others 2 4 8
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 24 24
Total Workload (Hour) 212
Total Workload / 25 (h) 8,48
ECTS 8 ECTS

Update Time: 29.04.2025 11:51