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  Course Description
Course Name : Statistical Application İn Sport Sciences

Course Code : SYB310

Course Type : Compulsory

Level of Course : First Cycle

Year of Study : 2

Course Semester : Spring (16 Weeks)

ECTS : 4

Name of Lecturer(s) : Instructor LEVENT SANGÜN

Learning Outcomes of the Course : Understands the basic statistical concepts
Edits data
Explains the normal distribution and hypothesis testing
Uses parametric and non-parametric tests
Uses statistical software package
Understands basic statistical concepts

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : None

Recommended Optional Programme Components : None

Aim(s) of Course : The 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.

Course Contents : 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

Language of Instruction : Turkish

Work Place : classrooms and computer labs


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 Introduction To Statistics Reading Releated Sources oral presentation and the sample solution on the computer
2 Data Types, Data Classification And Graph Screening Reading Releated Sources oral presentation and the sample solution on the computer
3 Measures Of Location (Mean, Weighted Mean, Median, Mod And Geometric Mean Reading Releated Sources oral presentation and the sample solution on the computer
4 Measures Of Dispersion (Range, Variance, Standart Deviation, Standard Error Of Mean, Coefficient Of Variation) Reading Releated Sources oral presentation and the sample solution on the computer
5 Probability Reading Releated Sources oral presentation and the sample solution on the computer
6 Normal Distribitution Reading Releated Sources oral presentation and the sample solution on the computer
7 Hypothesis Testing And Error Types Reading Releated Sources oral presentation and the sample solution on the computer
8 Midterm Exam
9 Confidence Intervals Reading Releated Sources oral presentation and the sample solution on the computer
10 Khi-Square Analysis Reading Releated Sources oral presentation and the sample solution on the computer
11 Regression Analysis Reading Releated Sources oral presentation and the sample solution on the computer
12 Correlation Analysis Reading Releated Sources oral presentation and the sample solution on the computer
13 Non-Parametric Statistical Methods (Mann Whitney U Test, Kruskal Wallis H Test) Reading Releated Sources oral presentation and the sample solution on the computer
14 Sampling And Sampling Methods Reading Releated Sources oral presentation and the sample solution on the computer
15 final exam
16/17 final exam


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  Baykul, Yaşar. İstatistik. Ankara: Anı yayıncılık, 1997.
 Büyüköztürk, Şener. Veri Analizi El Kitabı. Ankara: Pegem A Yayıncılık, 2002
 Canyürek, Ersoy, Aşan, Zerrin. Parametrik Olmayan İstatistikler. Eskişehir: Anadolu Üniversitesi Yayınları No:1266, 2001
 Ergün, Mustafa. Bilimsel Araştırmalarda Bilgisayarla İstatistik Uygulamaları. Anakara: Ocak Yayınları, 1995
 Serper, Özer. Uygulamalı İstatistik. İstanbul: Filiz Kitabevi, 1986.
 Sümüloğlu, Kadir, Sümbüloğlu Vildan. Bioistatistik. Anakara: Hatipoğlu Yayınevi, 1997.
 Özdamar, K., 2004. Paket Programlar ile İstatistik Veri analizi, Kaan Kitabevi.
 Sangün, L, 2011. İstatistik, Ç.Ü.Adana MYO Yayınları.
Required Course Material(s)


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 40
    Homeworks/Projects/Others 1 60
Total 100
Rate of Semester/Year Assessments to Success 40
 
Final Assessments 100
Rate of Final Assessments to Success 60
Total 100

  Contribution of the Course to Key Learning Outcomes
# Key Learning Outcome Contribution*
1 Acts appropriately with professional ethical standards 0
2 Defines the sport organization in our country and explains their problems. 0
3 Understands the knowledge, skills and values related to sport organizations’ management at the highest level. 0
4 Analysis the internal and external environment of sport organizations, solves its problems and makes decisions in accordance with the changing conditions. 0
5 Practises the management functions and organization principle to sport organization 1
6 Has the skills of active listening, empathy, self-expression, and use of communication technology for effective interpersonal communication. 0
7 In additon to occupational skills, develops himself on scientific, cultural and artistic areas according to his own abilities and needs. 5
8 Recognizes the sports facilities and technologies, follows their progress and uses information technology in accordance with the sport sciences. 2
9 Has knowledge about human anatomy and physiology. 0
10 Understands how managerial decision-making process is affected by the organizational culture and ethical values of sport organization. 0
11 Acquires the knowledge and the culture of sport, adopts the philosophy of Olympism, has the skills of explaining and spreading this philosophy in society. 0
12 Understands and interprets the technical tactics and managerial skills of chosen sports branch. 0
13 Uses the communiction skills in the sport organization management process. 0
14 Develops the financial strategies for sport organizations, evaluates the budget, revenue sources and expenditure, explains the elements of sports marketing. 2
15 Has an active role in individual and group activities and successfully finishes the tasks in group work in sports areas. 0
16 Becomes sensitive and tolerant of athletes about multicultural and diversity issues. 0
17 Uses educational technology effectively to reach training and performance goals. 3
18 Has the ability to search, discover, create alternative solutions, reach information, think critically and engage in productive discussions for personal and professional growth. 0
19 Acts colloboratively and cooperatively with her/his colleagues in work place 0
20 Knows the importance of nutrition for health and performance. 0
* Contribution levels are between 0 (not) and 5 (maximum).

  Student Workload - ECTS
Works Number Time (Hour) Total 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 5 5
    Mid-term Exams (Written, Oral, etc.) 1 10 10
    Final Exam 1 15 15
Total Workload: 100
Total Workload / 25 (h): 4
ECTS Credit: 4