ISB110 Statistics in Sport

3 ECTS - 2-0 Duration (T+A)- 2. Semester- 2 National Credit

Information

Unit FACULTY OF SCIENCE AND LETTERS
STATISTICS PR.
Code ISB110
Name Statistics in Sport
Term 2026-2027 Academic Year
Semester 2. Semester
Duration (T+A) 2-0 (T-A) (17 Week)
ECTS 3 ECTS
National Credit 2 National Credit
Teaching Language Türkçe
Level Belirsiz
Type Normal
Label E Elective
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. ALİ İHSAN GENÇ
Course Instructor
The current term course schedule has not been prepared yet.


Course Goal / Objective

The aim of this course is to equip students with the skills to perform statistical data analysis in sports science.

Course Content

Applications of statistics in sport sciences

Course Precondition

None

Resources

Alpar, R. (2001). Spor Bilimlerinde Uygulamalı İstatistik, Nobel Yayınevi.

Notes

Alpar, R. (2001). Spor Bilimlerinde Uygulamalı İstatistik, Nobel Yayınevi.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Classifies data and makes a frequency table.
LO02 Calculates the measures of central tendency and dispersion measures.
LO03 Draws various plots of data.
LO04 Makes calculations assuming normal distribution.
LO05 Tests statistical hypotheses.
LO06 Makes calculations of one-way ANOVA.
LO07 Makes calculations of two-way ANOVA.
LO08 Makes calculations for regression analysis.


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 Statistics 5
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 3
PLO05 Bilgi - Kuramsal, Olgusal Use proper methods and techniques to gather and/or to arrange the data 4
PLO06 Bilgi - Kuramsal, Olgusal Utilize computer programs and builds models, solves problems, does analyses and comments about problems concerning randomization 4
PLO07 Bilgi - Kuramsal, Olgusal Apply the statistical analyze methods 5
PLO08 Bilgi - Kuramsal, Olgusal Make statistical inference (estimation, hypothesis tests etc.) 5
PLO09 Bilgi - Kuramsal, Olgusal Generate solutions for the problems in other disciplines by using statistical techniques and gain insight
PLO10 Bilgi - Kuramsal, Olgusal Discover the visual, database and web programming techniques and posses the ability of writing programs
PLO11 Beceriler - Bilişsel, Uygulamalı Distinguish the difference between the statistical methods 4
PLO12 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Make oral and visual presentation for the results of statistical methods 4
PLO13 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Have capability on effective and productive work in a group and individually
PLO14 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
PLO15 Yetkinlikler - Öğrenme Yetkinliği Develop scientific and ethical values in the fields of statistics-and scientific data collection


Week Plan

Week Topic Preparation Methods
1
2
3
4
5
6
7
8 Mid-Term Exam Ölçme Yöntemleri:
Yazılı Sınav
9
10
11
12
13
14
15
16 Term Exams Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 2 28
Out of Class Study (Preliminary Work, Practice) 14 2 28
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 6 6
Final Exam 1 16 16
Total Workload (Hour) 78
Total Workload / 25 (h) 3,12
ECTS 3 ECTS

Update Time: 05.05.2026 05:03