ISB302 NonParametric Statistics

5 ECTS - 3-0 Duration (T+A)- 6. Semester- 3 National Credit

Information

Code ISB302
Name NonParametric Statistics
Semester 6. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 5 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. SADULLAH SAKALLIOĞLU


Course Goal

Selecting the appropriate tests to test hypotheses and gain the ability to apply non-parametric tests

Course Content

Basic concepts, the difference between parametric and nonparametric statistics, one sample tests, related two sample tests, independent two samples tests.

Course Precondition

None

Resources

W. J. Conover (1998). Practical Nonparametric Statistics, Wiley; 3rd edition.

Notes

Lecture Notes


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Distinguish the difference between parametric and nonparametric statistical methods,
LO02 Understand which method you can use
LO03 Apply sign test and Wilcoxon signed rank test
LO04 Apply median test and Mann-Whitney U test
LO05 Apply Mood test and Moses test
LO06 Use related two sample tests
LO07 Use k independent sample test and approximation to chi-square statistics
LO08 Use Friedman S test and approximation to chi-square test
LO09 Perform goodness of fit tests


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics 3
PLO02 Bilgi - Kuramsal, Olgusal Emphasize the importance of Statistics in life 4
PLO03 Bilgi - Kuramsal, Olgusal Define basic principles and concepts in the field of Law and Economics
PLO04 Bilgi - Kuramsal, Olgusal Produce numeric and statistical solutions in order to overcome the problems 5
PLO05 Bilgi - Kuramsal, Olgusal Use proper methods and techniques to gather and/or to arrange the data
PLO06 Bilgi - Kuramsal, Olgusal Utilize computer systems and softwares
PLO07 Bilgi - Kuramsal, Olgusal Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events 4
PLO08 Bilgi - Kuramsal, Olgusal Apply the statistical analyze methods 5
PLO09 Bilgi - Kuramsal, Olgusal Make statistical inference(estimation, hypothesis tests etc.) 4
PLO10 Bilgi - Kuramsal, Olgusal Generate solutions for the problems in other disciplines by using statistical techniques 5
PLO11 Bilgi - Kuramsal, Olgusal Discover the visual, database and web programming techniques and posses the ability of writing programme
PLO12 Bilgi - Kuramsal, Olgusal Construct a model and analyze it by using statistical packages
PLO13 Beceriler - Bilişsel, Uygulamalı Distinguish the difference between the statistical methods 5
PLO14 Beceriler - Bilişsel, Uygulamalı Be aware of the interaction between the disciplines related to statistics 4
PLO15 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Make oral and visual presentation for the results of statistical methods 4
PLO16 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Have capability on effective and productive work in a group and individually 3
PLO17 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Professional development in accordance with their interests and abilities, as well as the scientific, cultural, artistic and social fields, constantly improve themselves by identifying training needs 3
PLO18 Yetkinlikler - Öğrenme Yetkinliği Develop scientific and ethical values in the fields of statistics-and scientific data collection 4


Week Plan

Week Topic Preparation Methods
1 Basic concepts Source reading Öğretim Yöntemleri:
Anlatım, Tartışma
2 the difference between parametric and nonparametric technics Source reading Öğretim Yöntemleri:
Anlatım, Tartışma
3 Levels of Measurement Source reading Öğretim Yöntemleri:
Anlatım, Tartışma
4 one sample tests: sign test, Wilcoxon signed rank test Source reading Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
5 independent two samples tests: median test, Mann-Whitney test Source reading Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
6 independent two samples tests: Mood test, Moses Source reading Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
7 related two sample tests: sign test, Wilcoxon signed rank test Source reading Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
8 Mid-Term Exam Written exam Ölçme Yöntemleri:
Yazılı Sınav
9 chi square test of independence Source reading Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
10 independent k samples test:Kruskal-Wallis Test (H statistics) Source reading Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
11 sampling distribution of H statistics and chi-square approximation Source reading Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
12 Friedman S Test Source reading Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
13 sampling distribution of S statistics and chi-square approximation Source reading Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
14 Goodness of fit tests Source reading Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
15 Solving problem Review of topics discussed in the lecture notes and sources Öğretim Yöntemleri:
Problem Çözme
16 Term Exams Written exam Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Written exam Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 3 42
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 18 18
Total Workload (Hour) 114
Total Workload / 25 (h) 4,56
ECTS 5 ECTS