Information Package / Course Catalogue
Non-Parametric Statistical Methods
Course Code: BİS605
Course Type: Required
Couse Group: Third Cycle (Doctorate Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 2
Credit: 4
Lab: 0
ECTS: 5
Objectives of the Course

Determining appropriate nonparametric techniques when the assumptions of parametric tests were met.

Course Content

Sign test, McNemar's test, Kruskal-Wallis test, Nonparametric linear regression, Goodness of fit tests, Mantel-Haenszel test, Cochran's test

Name of Lecturer(s)
Learning Outcomes
1.Learning the concept and properties of nonparametric statistical methods
2.Have an awareness of the need for nonparametric statistical techniques as alternatives to parametric methods;
3.Gaining skills to apply nonparametric statistical methods
4.To be able to do statistical analysis by using appropriate statistical methods
5.Interpreting statistical analysis results
Recommended or Required Reading
Weekly Detailed Course Contents
Week 1 - Theoretical
Probability and Statistical Inference
Week 1 - Practice
Application with package programs
Week 2 - Theoretical
Sign test
Week 2 - Practice
Application with package programs
Week 3 - Theoretical
Mann-Whitney U test
Week 3 - Practice
Application with package programs
Week 4 - Theoretical
Wilcoxon test
Week 4 - Practice
Application with package programs
Week 5 - Theoretical
Kruskal-Wallis test
Week 5 - Practice
Application with package programs
Week 6 - Theoretical
Friedman test
Week 6 - Practice
Application with package programs
Week 7 - Theoretical
McNemar's test
Week 7 - Practice
Application with package programs
Week 8 - Theoretical
Literature review and discussion (Midterm exam)
Week 9 - Theoretical
Logistic regression
Week 9 - Practice
Application with package programs
Week 10 - Theoretical
Goodness of fit tests
Week 10 - Practice
Application with package programs
Week 11 - Theoretical
Mantel-Haenszel test
Week 11 - Practice
Application with package programs
Week 12 - Theoretical
Cochran's tests
Week 12 - Practice
Application with package programs
Week 13 - Theoretical
Chi-square goodness of fit test
Week 13 - Practice
Application with package programs
Week 14 - Theoretical
Chi-square independence test
Week 14 - Practice
Application with package programs
Week 15 - Final Exam
Final exam
Assessment Methods and Criteria
Type of AssessmentCountPercent
Attending Lectures1%5
Assignment1%5
Midterm Examination1%20
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140342
Lecture - Practice140228
Assignment1505
Quiz42112
Midterm Examination110212
Final Examination120222
TOTAL WORKLOAD (hours)121
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
OÇ-1
OÇ-2
4
4
4
4
3
4
5
OÇ-3
4
4
4
5
3
4
5
OÇ-4
4
4
4
5
4
3
2
OÇ-5
Adnan Menderes University - Information Package / Course Catalogue
2026