Information
Code | ISB302 |
Name | NonParametric Statistics |
Term | 2022-2023 Academic Year |
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 |
Label | C Compulsory |
Mode of study | Yüz Yüze Öğretim |
Catalog Information Coordinator | Prof. Dr. SADULLAH SAKALLIOĞLU |
Course Instructor |
Prof. Dr. SADULLAH SAKALLIOĞLU
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
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 | |
2 | the difference between parametric and nonparametric technics | Source reading | |
3 | Levels of Measurement | Source reading | |
4 | one sample tests: sign test, Wilcoxon signed rank test | Source reading | |
5 | independent two samples tests: median test, Mann-Whitney test | Source reading | |
6 | independent two samples tests: Mood test, Moses | Source reading | |
7 | related two sample tests: sign test, Wilcoxon signed rank test | Source reading | |
8 | Mid-Term Exam | Written exam | |
9 | chi square test of independence | Source reading | |
10 | independent k samples test:Kruskal-Wallis Test (H statistics) | Source reading | |
11 | sampling distribution of H statistics and chi-square approximation | Source reading | |
12 | Friedman S Test | Source reading | |
13 | sampling distribution of S statistics and chi-square approximation | Source reading | |
14 | Goodness of fit tests | Source reading | |
15 | Solving problem | Review of topics discussed in the lecture notes and sources | |
16 | Term Exams | Written exam | |
17 | Term Exams | Written exam |
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 |