Information Package / Course Catalogue
Nonparametric Statistical Techniques
Course Code: EK456
Course Type: Area Elective
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

To teach the students distribution free tests and non parametric statistical methods and also to solve the problems by using statistical package programs .

Course Content

Explanation of parametric and non parametric statistical methods, Describes the concepts of non parametric methods, Uses of non parametric methods for solving the problems of the hypothesis in; Single sample problems, Two samples problems and k samples problems; Uses of non parametric methods in relation tests, Uses of statistical package programs for non parametric methods

Name of Lecturer(s)
Learning Outcomes
1.Explanation of the concepts of parametric and non parametric estimations
2.Explanation of the Non parametric solution of the problems
3.Using the Computer for non parametric statistical methods
4. Choosing the appropriate nonparametric tests for the problems of research
5.Obtaining the results by using appropriate tests
Recommended or Required Reading
1..
2.Sprent, P and Smeeton, N.C. : Applied Nonparametric Statistical Methods, Fourth Edition , Chapman and Hall, New York, 2007.
Weekly Detailed Course Contents
Week 1 - Theoretical
1. Nonparametric Statistical Methods 1.1 . Various concepts 1.2 .Scaling and scales
Week 2 - Theoretical
2. Ordered Statistics 2.1. Joint fuctions 2.2. Distribution of marginal functions 2.3. Distribution of median 2.4 .Distribution of range
Week 3 - Theoretical
3. Moment generating functions and Central Limit Theorem 3.1. Randomization method 3.2. Linear Rank Statistics 3.3. Comparsion of parametric and nonparametric tests
Week 4 - Practice
4. Application 4.1. Randomization test problems 4.2 .Linear Rank Statistics problems
Week 5 - Theoretical
5. Nonparametric Test for Single Sample 5.1 Location tests 5.1.1. Sign test 5.1.2 .Wilcoxon test 5.1.3. Median test 5.2. Randomness tests 5.2.1.Run test of rand
Week 6 - Theoretical
5.3. Goodness of Fit tests 5.3.1 Chi-squared test 5.3.2 . Kolmogorov-Smirnov test 5.3.3. Cramer-Von Mises test 6. Application 6.1 .Nonparametric location problems for si
Week 7 - Practice
Applications
Week 8 - Practice
Applications
Week 9 - Theoretical
7. Two Samples Tests 7.1. Location tests 7.1.1.Sign test 7.1.2. Wilcoxon test 7.1.3 .Mc-Nemar test 7.1.4 .Mann-Whitney test 7.1.5 .Median test
Week 10 - Theoretical
7.2 Dispersion tests 7.2.1. Moses test 7.2.2. Mood test 7.2.3 .Siegel-Tukey test 7.2.4 .Freund - Ansari test 7.2.5 .David-Baron test
Week 11 - Theoretical
7.3. Goodness of Fit tests 7.3.1 .Chi-squared test 7.3.2 .Smirnov test 7.3.3 .Cramer-Von Mises test 8. Application 8.1 ..Nonparametric Location problems for Two Samples
Week 12 - Theoretical
9. Nonparametric tests for k Samples 9.1 .Location tests 9.1.1. Median test 9.1.2 .Kruskal-Wallis test 9.1.3 .Slipage test 9.2. Dispersion tests 9.2.1. Friedman test
Week 13 - Theoretical
9.2.3 .Durbin test 9.2.4 .Cochran Q test 9.3 .Goodness of Fit tests 9.3.1. Birnbaum-Hall test 9.3.2 .Smirnov test for two ways and k samples test
Week 14 - Theoretical
11. Correlation/Relation Tests 11.1. Spearman Rho correlation coefficient test 11.2 .Hotelling-Pabst test 11.3 .Kendall Tau correlation coefficient test 11.4. Kendall Tau partial correlation coefficient test
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory124384
Lecture - Practice33318
Midterm Examination1819
Final Examination112113
TOTAL WORKLOAD (hours)124
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
OÇ-1
5
3
3
5
3
3
4
3
3
OÇ-2
5
4
4
4
3
3
3
3
3
OÇ-3
3
3
3
4
4
4
4
4
4
OÇ-4
4
4
4
4
3
3
3
3
3
OÇ-5
3
3
3
3
3
4
4
4
4
Adnan Menderes University - Information Package / Course Catalogue
2026