Information Package / Course Catalogue - Adnan Menderes University

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Applied Statistics in Sports Science

Course Code	: AEB340
Course Type	: Area Elective
Couse Group	: First Cycle (Bachelor's Degree)
Education Language	: Turkish
Work Placement	: N/A

Theory	: 2
Prt.	: 1
Credit	: 3
Lab	: 0
ECTS	: 3

Objectives of the Course

At the end of this course, students; 1) Comprehends the concepts of statistics 2) Analyzes according to variable types

Course Content

The course includes basic statistical concepts and the use of parametric and nonparametric statistical techniques which are mostly used in social sciences. Teaching how to use these techniques in computer environment

Name of Lecturer(s)

Learning Outcomes

1.	To be able to choose appropriate statistical methods for scientific research problems
2.	To be able to use the selected statistical technique correctly
3.	To be able to use SPSS program
4.	To be able to interpret the tables of analyzes
5.	To be able to evaluate the statistics in different researches
6.	Willing to use different statistical techniques on data

Recommended or Required Reading

1.	Büyüköztürk, Ş. (2012). Manual of data analysis for social sciences. Ankara: PegemA Publications.
2.	Williams, F. (1992). Reasoning with Statistics.Fort Worth: Harcourt Brace Javanovich College Publishers
3.	Büyüköztürk, Ş. (2013). Statistics for Social Sciences. Ankara: PegemA Publications.
4.	Kalaycı, Ş. (2006). Multivariate statistical techniques with SPSS (2nd Edition). Master Publishing

Weekly Detailed Course Contents

Week 1 - Theoretical

Restructuring the term plan

Week 2 - Theoretical

Central education measures, normality, kurtosis, skewness

Week 3 - Theoretical

Central education measures, normality, kurtosis, skewness

Week 4 - Theoretical

Reading about "Central education measures, normality, kurtosis, skew"

Week 5 - Theoretical

Success test development, success test reading.

Week 6 - Theoretical

Developing a success test. Developing a success test on any subject.

Week 7 - Theoretical

Scales and scale development. Reading about scales and scale development.

Week 8 - Theoretical

Midterm

Week 9 - Theoretical

T-test, T-test in computer programs

Week 10 - Theoretical

ANOVA study in computer programs

Week 11 - Theoretical

Reading about ANOVA

Week 12 - Theoretical

Regression analysis

Week 13 - Theoretical

Regression analysis in computer programs

Week 14 - Theoretical

Non-parametric tests, Reading about non-parametric tests.

Week 15 - Final Exam

Final exam

Assessment Methods and Criteria

Type of Assessment	Count	Percent
Midterm Examination	1	%40
Final Examination	1	%70

Workload Calculation

Activities	Count	Preparation	Time	Total Work Load (hours)
Lecture - Theory	14	1	1	28
Lecture - Practice	14	1	1	28
Assignment	2	2	4	12
Midterm Examination	1	2	2	4
Final Examination	1	2	2	4
TOTAL WORKLOAD (hours)				76

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
OÇ-1	5	5	2	2						4		4
OÇ-2	4	4	2							4		4
OÇ-3	5	5								4		4
OÇ-4	5	5		4						5		5
OÇ-5	5	5		4						5		4
OÇ-6	4	5		4						4		4

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