SYBZ302 Statistics in Sports

4 ECTS - 2-1 Duration (T+A)- 6. Semester- 2.5 National Credit

Information

Unit FACULTY OF SPORT SCIENCES
SPORTS MANAGEMENT PR.
Code SYBZ302
Name Statistics in Sports
Term 2026-2027 Academic Year
Semester 6. Semester
Duration (T+A) 2-1 (T-A) (17 Week)
ECTS 4 ECTS
National Credit 2.5 National Credit
Teaching Language Türkçe
Level Belirsiz
Type Normal
Label C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. LEVENT SANGÜN
Course Instructor
The current term course schedule has not been prepared yet.


Course Goal / Objective

he aim of this course is to make students gain the ability to comprehend basic statistical methods, to select the appropriate statistical method, to analyze them and to interpret the results of analyzes. To evaluate sports and athlete analysis.

Course Content

Introduction To Statistics, Data Classification And Graph Screening, Measures Of Location, Measures Of Dispersion, Probability, Normal Distribitution, Hypothesis Testing And Error Types, Confidence Intervals, Khi-Square Analysis, Regression Analysis, Correlation Analysis, Non-Parametric Statistical Methods, Sampling And Sampling Methods

Course Precondition

No Prerequisites for the Course

Resources

Lecturer's notes. Prof. Dr. Levent SANGÜN İstatistik, Schaum's serisi. Üçüncü baskı. Nobel yayınları SPSS İle İstatistik Rehberi, Doç. Dr. İbrahim Demir

Notes

Statistics, Schaum's Outline Series. Third edition. Nobel publications Statistics Guide with SPSS, Doç. Dr. İbrahim Demir


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Explain basic statistical concepts.
LO02 Uses and interprets frequency distribution.
LO03 Use and interpret frequency distribution.
LO04 Explain measures of location.
LO05 Hypothesis testing and generating hypotheses.
LO06 Be able to use and evaluate sampling distributions, statistical estimation and inference.
LO07 Interpret data by using regression and correlation concepts.
LO08 They will be able to analyze the statistical methods they have learned using relevant software packages and interpret the results.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Defines information about management, leadership theories and concepts, sports organizations, problems, policies and historical processes in the field of sports management.
PLO02 Beceriler - Bilişsel, Uygulamalı Plans the knowledge and skill processes related to the field of sports management.
PLO03 Beceriler - Bilişsel, Uygulamalı Supervises the management processes regarding sports facilities and technologies. 2
PLO04 Beceriler - Bilişsel, Uygulamalı Conducts internal and external environmental audits of sports organizations. 4
PLO05 Yetkinlikler - Alana Özgü Yetkinlik It adopts the use of sports culture, philosophy, organizational culture and ethical values ​​in managerial processes.
PLO06 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Determines organizational goals, objectives and strategies in the working environment. 3
PLO07 Beceriler - Bilişsel, Uygulamalı Plans the technical, tactical and managerial skills processes of sports branches. 2
PLO08 Yetkinlikler - İletişim ve Sosyal Yetkinlik Implements the management functions of the institution and regulates its relations with its stakeholders.
PLO09 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Accesses information in the field of sports management and analyzes it using critical thinking skills. 4
PLO10 Bilgi - Kuramsal, Olgusal Explains information about general human anatomy, physiology and nutrition. 3
PLO11 Yetkinlikler - Alana Özgü Yetkinlik By implementing the management functions of the institution, it analyzes and effectively manages its relations with its stakeholders. 2
PLO12 Yetkinlikler - Alana Özgü Yetkinlik Plans and manages sports organizations and events.
PLO13 Yetkinlikler - İletişim ve Sosyal Yetkinlik Organizes and implements projects/activities for sports institutions with a sense of social responsibility.


Week Plan

Week Topic Preparation Methods
1 Introduction To Statistics, Data Types, Data Classification And Graph Screening Reading related resources, solving sample questions Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
2 Sampling And Sampling Methods Reading related resources, solving sample questions Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
3 Measures Of Location (Mean, Weighted Mean, Median, Mod And Geometric Mean Reading related resources, solving sample questions Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
4 Measures Of Dispersion (Range, Variance, Standart Deviation, Standard Error Of Mean, Coefficient Of Variation) Reading related resources, solving sample questions Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
5 Probability, Normal Distribitution Reading related resources, solving sample questions Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
6 Hypothesis Testing And Error Types Reading related resources, solving sample questions Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
7 Confidence Intervals Reading related resources, solving sample questions Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
8 Mid-Term Exam Reading relevant resources, solving sample questions, and practicing. Ölçme Yöntemleri:
Yazılı Sınav
9 Khi-Square Analysis Reading related resources, solving sample questions Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
10 Regression Analysis Reading related resources, solving sample questions Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
11 Correlation Analysis Reading related resources, solving sample questions Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
12 Non-Parametric Statistical Methods (Mann Whitney U Test, Kruskal Wallis H Test) Reading related resources, solving sample questions Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
13 Computerized application (Frequency tables, spatial measurements, and dispersion measurements) Creating sample applications on a computer Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Tartışma
14 Computerized applications (parametric and non-parametric statistical methods) Creating sample applications on a computer Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Tartışma
15 Computerized application (Chi-Square, Regression and Correlation Analysis) Creating sample applications on a computer Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Tartışma
16 Term Exams Reading relevant resources, solving sample questions, and practicing. Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Reading relevant resources, solving sample questions, and practicing. 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 3 42
Assesment Related Works
Homeworks, Projects, Others 1 0 0
Mid-term Exams (Written, Oral, etc.) 1 8 8
Final Exam 1 16 16
Total Workload (Hour) 94
Total Workload / 25 (h) 3,76
ECTS 4 ECTS

Update Time: 04.05.2026 05:22