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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
EKNM 406NON-PARAMETRIC STATISTICAL METHODS3 + 06th Semester5

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective This course's aim is to examine the nonparametric methods when the assumptions are not hold
Course Content Basic Definitions, The Rank Statistics, The One Sample Tests, Dependent/Independent Two Samples Tests, More Than Two Samples Tests, Goodness of Fit Test, Spearman Rank Correlation Coefficient, Kendal’s Tau Rank Correlation Coefficient, Friedman Test, Cochran’s Q Test, SPSS
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1.Know the terms of the use of parametric methods.
2.Knows the conditions of using non-parametric methods.
3.Knows the SPSS programme
4 Compares two populations.
5Study homogeneity of variances
6Comments about correlation coefficients

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11
LO 00155545335 43
LO 00255545335434
LO 00345534533433
LO 00445534334233
LO 00545534334233
LO 00645534334233
Sub Total2630302026201825141919
Contribution45534334233

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14456
Mid-terms11515
Final examination11717
Total Work Load

ECTS Credit of the Course






130

5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2023-2024 Spring1FERDA ESİN GÜLEL
Details 2013-2014 Spring1FERDA ESİN GÜLEL
Details 2013-2014 Spring1ŞABAN NAZLIOĞLU


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
EKNM 406 NON-PARAMETRIC STATISTICAL METHODS 3 + 0 1 Turkish 2023-2024 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Assoc. Prof. Dr. FERDA ESİN GÜLEL fegulel@pau.edu.tr İİBF C0207 %60
Goals This course's aim is to examine the nonparametric methods when the assumptions are not hold
Content Basic Definitions, The Rank Statistics, The One Sample Tests, Dependent/Independent Two Samples Tests, More Than Two Samples Tests, Goodness of Fit Test, Spearman Rank Correlation Coefficient, Kendal’s Tau Rank Correlation Coefficient, Friedman Test, Cochran’s Q Test, SPSS
Topics
WeeksTopics
1 Statistical Concepts
2 One Sample Methods:Location Tests:Sign Test,Wilcoxon Signed Test
3 Median Test,Binom Test
4 Two Independent Samples Tests:Wald Wolfowitzs Runs Test, Fisher Exact Test
5 Goodness of Fit Test:Kolmogorov Smirnov Test,Cramer Von Mises Test
6 Application on SPSS
7 Midterm Exam
8 Related Two Samples Methods-Location Tests:Two Samples Sign Test
9 Related Two Samples Methods-Location Tests:Wilcoxon Signed Test,McNemar Test
10 K Independent Samples Methods-Location Tests:Median Test,Kruskall Wallis Test
11 Dispersion Tests:Bell Doksum Test,Rank Squared Test
12 K Dependent Samples Methods-Location Tests:Friedman Tests,Multiple Comprasions
13 Correlation Tests:Spearman Rank Correlation Coefficient and test,Kendall'a Tau Correlation Coefficient and test
14 Application on SPSS
Materials
Materials are not specified.
Resources
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam60Final Exam
Midterm Exam40Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes