Information Package / Course Catalogue
Statistics in Sport
Course Code: SYB316
Course Type: Required
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 1
Credit: 3
Lab: 0
ECTS: 4
Objectives of the Course

Introduce programs such as SPSS and provide sample solutions. To make use of statistical package programs in introduction and advanced statistical education

Course Content

In accordance with the research techniques, basic statistical information to be used in sports sciences, statistical calculations and application issues using computers are included.

Name of Lecturer(s)
Learning Outcomes
1.Students gain the ability to effectively use a software package used in the field of social sciences.
2.Students learn about package program menus, data entry, table creation, and graph drawing.
3.Students can perform descriptive statistics.
4.Students know and can apply parametric and nonparametric tests.
5.Students will learn about regression and correlation analysis.
Recommended or Required Reading
1.ÖZDAMAR Kazım."Statistical data analysis with package programs
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction of menus of statistical package programs
Week 2 - Theoretical
Data entry, data derivation from theoretical distributions
Week 3 - Theoretical
Creation of frequency, cross and multidimensional tables
Week 4 - Theoretical
Drawing of various types of graphs
Week 5 - Theoretical
Calculation of descriptive statistics, parametric single and two sample tests
Week 6 - Theoretical
One-and two-way variance analysis
Week 7 - Theoretical
Multiple comparison tests
Week 8 - Intermediate Exam
Midterm
Week 9 - Theoretical
Nonparametric tests, single sample tests(binomial and sign Test))
Week 10 - Theoretical
Nonparametric tests, two dependent sample tests( Wilcoxon and Mc Nemar test
Week 11 - Theoretical
Nonparametric tests, two independent sample tests (Mann Whitney U and K-S tests
Week 12 - Theoretical
Non-parametric tests more than two sample tests
Week 13 - Theoretical
Simple and multiple linear regression and correlation analysis
Week 14 - Final Exam
Final Exam.
Assessment Methods and Criteria
Type of AssessmentCountPercent
Attending Lectures1%9
Assignment1%1
Midterm Examination1%30
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory143156
Lecture - Practice140114
Assignment1112
Midterm Examination110111
Final Examination115116
TOTAL WORKLOAD (hours)99
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
PÇ-12
PÇ-13
PÇ-14
PÇ-15
OÇ-1
1
1
1
1
2
2
2
3
2
1
1
3
OÇ-2
1
1
1
1
2
2
2
2
2
2
1
3
OÇ-3
1
1
1
1
2
2
1
2
2
2
1
3
OÇ-4
1
1
1
1
2
2
1
2
2
1
1
3
OÇ-5
1
1
1
1
2
2
2
3
2
2
1
3
Adnan Menderes University - Information Package / Course Catalogue
2026