ISB549 Nonparametrical Statistics

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

Information

Code ISB549
Name Nonparametrical Statistics
Term 2022-2023 Academic Year
Term Spring
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Doktora Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. SADULLAH SAKALLIOĞLU
Course Instructor
1


Course Goal / Objective

Understand Difference between Parametric and Nonparametric Statistical Procedures.

Course Content

Basic Concepts, Distinguish parametric and nonparametric statistical procedures, One sample methods; Test of hypothesis and confidence interval for the median; Binomial test; Kolmogorov-Smirnov test, Chi-Squre test, Two-Sample methods; The permutation test; Wilcoxon rank sum test; Mann- Whitney test and a confidence interval; k-sample permutation tests; The F statistics; The Kruskal-Wallis test; Paired comparisons.

Course Precondition

None

Resources

David J. Sheskin (2004) Parametric and Nonparametric Statistical Procedures, Chapman Hall CRC

Notes

Higgins, J. J. (2004) An Inroduction to Modern Nonparametric Statistics, Thomson, Brooks/Cole.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Distinguish parametric and nonparametric statistical procedures,
LO02 Explain comonly used nonparametric statistical procedures,
LO03 Perform hypothesis tests using nonparametric statistical procedures,
LO04 Distinguishing the measurement levels of the variables,


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Develops new methods and strategies in modeling statistical problems and generating problem-specific solutions. 5
PLO02 Bilgi - Kuramsal, Olgusal Can do detailed research on a specific subject in the field of statistics. 5
PLO03 Bilgi - Kuramsal, Olgusal Have a good command of statistical theory to contribute to the statistical literature. 4
PLO04 Bilgi - Kuramsal, Olgusal Can use the knowledge gained in the field of statistics in interdisciplinary studies. 5
PLO05 Yetkinlikler - Öğrenme Yetkinliği Can organize projects and events in the field of statistics.
PLO06 Yetkinlikler - Öğrenme Yetkinliği Can perform the stages of creating a project, executing it and reporting the results. 3
PLO07 Beceriler - Bilişsel, Uygulamalı Have the ability of scientific analysis.
PLO08 Bilgi - Kuramsal, Olgusal Can produce scientific publications in the field of statistics. 3
PLO09 Bilgi - Kuramsal, Olgusal Have analytical thinking skills. 4
PLO10 Yetkinlikler - Öğrenme Yetkinliği Can follow professional innovations and developments both at national and international level. 3
PLO11 Yetkinlikler - Öğrenme Yetkinliği Can follow statistical literature. 4
PLO12 Beceriler - Bilişsel, Uygulamalı Can improve his/her foreign language knowledge at the level of making publications and presentations in a foreign language.
PLO13 Bilgi - Kuramsal, Olgusal Can use information technologies at an advanced level.
PLO14 Bilgi - Kuramsal, Olgusal Have the ability to work individually and make independent decisions. 4
PLO15 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Have the qualities necessary for teamwork. 4
PLO16 Bilgi - Kuramsal, Olgusal Have a sense of professional and ethical responsibility. 5
PLO17 Bilgi - Kuramsal, Olgusal Acts in accordance with scientific ethical rules. 5


Week Plan

Week Topic Preparation Methods
1 Basic Concepts Source reading, examination of literature Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
2 the difference between parametric and nonparametric statistics Source reading, examination of literature Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
3 Levels of measurement Source reading, examination of literature Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
4 one sample tests: sign test, Wilcoxon signed rank test Source reading, examination of literature Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
5 independent two samples tests: median test, Mann-Whitney U test Source reading, examination of literature Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
6 mood test, Moses test, Source reading, examination of literature Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
7 related two sample tests: sign test, Wilcoxon matched-pairs signed-ranks test, Source reading, examination of literature Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
8 Mid-Term Exam Rewview the topics discussed in the lecture notes and sources Ölçme Yöntemleri:
Yazılı Sınav, Ödev
9 Chi - square tests Source reading, examination of literature Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
10 Kruskal-Wallis test Source reading, examination of literature Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
11 sampling distribution of H statistics and chi - square statistics Source reading, examination of literature Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
12 Friedman S Test Source reading, examination of literature Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
13 sampling distribution of S statistics and chi - square Source reading, examination of literature Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
14 Goodness of Fit Tests Source reading, examination of literature Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
15 correlation coefficients: Sperman rank correlation coefficient, Kendal Tau correlation coefficient, Source reading, examination of literature Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
16 Term Exams Rewview the topics discussed in the lecture notes and sources Ölçme Yöntemleri:
Yazılı Sınav, Ödev
17 Term Exams Rewview the topics discussed in the lecture notes and sources Ölçme Yöntemleri:
Yazılı Sınav, Ödev


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 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS

Update Time: 23.11.2022 03:07