Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
İST304NONPARAMETRIC STATISTICAL METHODSCompulsory365
Level of Course Unit
First Cycle
Objectives of the Course
The aim of this course is to discuss the topics related by nonparametric statistical methods.
Name of Lecturer(s)
Assoc. Prof. Dr. Sevcan DEMİR ATALAY
Learning Outcomes
1To understand the basic consepts and definitions
2To distinguish measurement levels
3To examine sample data
4To learn Run tests for randomness
5To make inference about location parameter
6To make inference about population proportion
7Knowledge of goodness of fit tests
8To use independence and homogenity tests
Mode of Delivery
Face to Face
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
Nonparametric statistical methods used in case of one sample, two independent samples, two dependent samples, three or more independent samples and three or more dependent samples, Chi-Square tests for independence and homogenity, goodness of fit tests.
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
0Introduction: Aim, Content and references. Basic Statistical Concepts
1Differences between nonparametric and parametric statistical methods, measurement levels
2Goodness of fit tests: Chi-square, Kolmogorov- Smirnov, Lilliefors
3Test for Homogeneity of Variances: Levene Test, Brown-Forsythe Test. One sample nonparametric tests: Binomial Test,
4Sign Test, Wilcoxon Signed Rank Test, Run Test
5Two Independent Sample Tests: Median Test, Mann Whitney, Wald – Wolfowitz Run Test
6Kolmogorov Smirnov Test, Fisher Exact Test, Mood Test
7Midterm
8Two Dependent Sample Nonparametric Tests: Sign Test, Wilcoxon Signed Rank Test, McNemar Test
9Chi-Square tests for independence and homogeneity
10Tests for More Than Two Independent Samples: Median Test, Kruskal – Wallis H Test
11Multiple Comparisons
12Tests for More Than Two Dependent Samples: Friedman’s S Test
13Multiple Comparisons
14 Rank-order correlation and other measures of relationship
15Final exam
Recommended or Required Reading
Daniel, W.W., (1978) Applied Nonparametric Statistics. Gamgam, H., Altunkaynak, B. (2008) Parametrik Olmayan Yöntemler:SPSS Uygulamalı, Gazi Kitabevi, Ankara.
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
SUM0
End Of Term (or Year) Learning ActivitiesQuantityWeight
SUM0
SUM0
Language of Instruction
Turkish
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination122
Final Examination122
Attending Lectures14342
Self Study14228
Individual Study for Mid term Examination13030
Individual Study for Final Examination14040
TOTAL WORKLOAD (hours)144
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